#How to Shuffle Lists in Python

[trendingnow3-blog]

Day-4: Unlocking the Power of Randomization in Python Lists

Python Boot Camp 2023 - Day-4

Randomization and Python List Introduction Randomization is an essential concept in computer programming and data analysis. It involves the process of generating random elements or sequences that have an equal chance of being selected. In Python, randomization is a powerful tool that allows developers to introduce an element of unpredictability and make programs more dynamic. This article…

[weekendviking]

Transcripts I never thought I'd see outside of a Spitting Image or Monty Python script, Russian Asset edition:

Transcript, in case you are one, like many, who no longer bothers with the howling fashy boomer kaos of the Zuckbook:

"Senator Jeff Merkley walked into the hearing room like a man who’d just been told his car got keyed and knew exactly who did it. On the other side of the table sat Christopher Landau, Trump’s nominee for Ambassador to Mexico, who looked like he hadn’t slept since Inauguration Day, and Matthew Whitaker, a former acting Attorney General who carries himself like a guy who still brags about his high school bench press record.

The setup was simple: Merkley had questions, and Landau and Whitaker had excuses — weak, sweaty excuses that couldn’t outrun a three-legged dog.

It didn’t take long for the whole thing to unravel. Merkley started calmly, like a guy setting mousetraps in a room full of blindfolded rats. Then the hammer dropped.

Senator Jeff Merkley: "I wanted to, uh... uh... ask you, Mr. Landau — is President Trump a Russian asset?"

That's how Merkley started — no warmup, no warning. Just kicked the door open and asked the question nobody else had the nerve to say out loud.

Mr. Landau: "Absolutely not, Senator. He's the President of the United States, duly elected by the American people."

Landau might as well have answered, "Please don't ask me anything else." Merkley wasn’t about to let him off that easy.

Senator Merkley: "Well, the reason I ask is many people back home have been asking me this question. And they say, 'If he was an asset, we would see exactly what he's doing now.'"

It’s the kind of thing that sounds conspiratorial until you start listing the evidence. And that’s exactly what Merkley did.

Senator Merkley: "For example... he proceeded to forward — or express from the Oval Office — propaganda that has been Russian propaganda... that Ukraine started the war... that, uh... Zelensky is a dictator."

Step one: repeat Kremlin talking points like they’re gospel.

Senator Merkley: "Second of all... he gave away key things on the negotiating table before the negotiations even started, ensuring the U.S. would absolutely oppose, um... any possibility of NATO membership for Ukraine."

That’s like showing up to a poker game and tossing your entire stack of chips across the table before the first card’s dealt.

Senator Merkley: "Uh... third... he's cut off the arms shipments to Ukraine completely — undermining their ability against a massive neighbor next door with short supply lines and... and huge resources."

Pause here and picture Vladimir Putin popping champagne.

Senator Merkley: "Fourth... he's undermined the partnership with Europe, which has been essential to security over the last 80 years — a major goal of Putin’s."

At this point, Merkley wasn’t describing bad policy — he was reading Putin’s wish list.

Senator Merkley: "And then... he's done everything to discredit and demean Zelensky on the international stage — notably with that shameful press conference in which he teamed up with the Vice President to attack Zelensky."

Ah yes, that infamous JD Vance press conference — the diplomatic equivalent of shoving Zelensky’s head in a toilet while Putin watched from the corner clapping like a seal.

Senator Merkley: "I can't imagine that if he was a Russian asset, he could be doing anything more favorable than these five points."

Boom. Merkley didn’t need to say “traitor” — he just pointed at the scoreboard.

Senator Merkley: "Uh... what else could a Russian asset actually possibly do that Trump hasn't yet done?"

What else, indeed? The room was dead silent — the kind of pause where you can hear chairs creak and paper shuffle.

Landau tried to squirm out.

Mr. Landau: "Senator, the President has made it absolutely clear that his top priority is to try to bring peace and end an absolutely savage war. I... I know you're familiar with the, uh... the... the savagery. This is turning into World War I-style trench warfare now in eastern Ukraine."

Translation: I have nothing, so let me ramble until you forget what you asked.

Mr. Landau: "The President is an exceptionally gifted dealmaker. He is probably the only individual in the entire universe that could actually stop this."

The entire universe. Not just Earth — the universe. Apparently Trump’s cutting side deals with Alpha Centauri now.

Senator Merkley: "Well, let's turn to another — thank you very much, since you're now off the topic I was raising."

That’s polite for “You're embarrassing yourself — let’s try someone else.”

Merkley turned to Whitaker.

Senator Merkley: "Mr. Whitaker, these five things that the President has done that are so favorable to Putin and so damaging to Ukraine and to our partnership with Europe... do you approve of them?"

Whitaker tried the old “blame Biden” routine.

Mr. Whitaker: "Well, Senator, thanks for that question. I'm just going to have to, uh... politely disagree with you, uh... on those five things and the way you've framed them."

"You know... the war in Ukraine would have never happened if President Trump was president in 2022. The war in Ukraine happened because of Joe Biden’s weakness."

Merkley didn’t flinch.

Senator Merkley: "Well, maybe you could some other time go on television and express those points of view, but... do you mind just answering the question I asked?"

And that’s where Whitaker realized he’d stepped into the bear trap.

Senator Merkley: "Do you agree with the five things that President Trump has done — starting with him expressing Russian propaganda from the Oval Office?"

Mr. Whitaker: "Well, you know... again, as I mentioned to your colleague, I am not here to assign labels. We're in the middle of a very, uh... important peace negotiation."

Senator Merkley: "I agree. Thank you. Uh... I... I do hope that we have an Administration that works to get the very best deal for Ukraine.

"But what a Russian asset would do would be to work to get the very best deal for Russia — and that appears to be exactly what Donald Trump is trying to accomplish."

Merkley didn’t shout. He didn’t wave his arms. He just said it — clear as glass — and let the silence hang heavy in the room.

Landau and Whitaker sat there like a couple of guys who’d just realized their GPS was guiding them into a lake.

If Trump isn’t a Russian asset, he’s sure putting in the effort to look like one."

[alexprwirenow]

"Empowering Minds: Unveiling Advanced Techniques Enhancing Reasoning in Large Language Models" – PRWireNow

The recent development of Natural Language Embedded Programs (NLEPs) by researchers from MIT and other institutions represents a significant advancement in enhancing the problem-solving capabilities of large language models (LLMs) like GPT-4. By leveraging the power of program generation, NLEPs enable LLMs to handle tasks involving natural language, math, data analysis, and symbolic reasoning with higher accuracy and efficiency.

Key Features of NLEPs:

Program Generation Approach:

Instead of embedding code within natural language responses, the model generates a step-by-step Python program to solve the query. This approach mitigates the errors often encountered in embedded programs and improves reasoning reliability.

Four-Step Process:

Step 1: The model imports the necessary packages and functions needed for the task.

Step 2: It imports natural language representations of the required knowledge (e.g., a list of U.S. presidents’ birthdays).

Step 3: The model implements a function that calculates the answer.

Step 4: It outputs the result as a line of natural language, optionally with automatic data visualization.

Transparency and Debugging:

Users can inspect the generated program to understand how the model arrived at a solution. If errors occur, they can be directly fixed in the code without rerunning the entire model, enhancing the transparency and debuggability of the system.

Generalizability:

A single NLEP prompt can be reused for multiple tasks, unlike traditional few-shot prompting that often requires task-specific prompts. This makes the approach more versatile and reduces the need for constant re-prompting.

Efficiency:

For users with similar questions, a core program can be generated and reused with variable replacements, reducing the need to repeatedly run the model.

Benefits and Performance:

Accuracy:

NLEPs have shown greater than 90 percent accuracy in solving a variety of symbolic reasoning tasks, such as tracking shuffled objects and playing games like 24, as well as in instruction-following and text classification tasks. This represents a 30 percent improvement over task-specific prompting methods.

Data Privacy:

Since NLEP programs are executed locally, sensitive user data does not need to be sent to external servers for processing, thus enhancing data privacy.

Cost Efficiency:

NLEPs can enable smaller language models to perform better without the need for expensive retraining, making the approach cost-effective and accessible.

Future Research Directions:

Improving Smaller Models:

Researchers aim to develop methods to enhance the program generation capabilities of smaller models, which currently do not perform as well due to limited training data.

Exploring Prompt Variations:

Investigating different prompt variations to improve the robustness and consistency of the model’s reasoning processes.

NLEPs represent a powerful advancement in the field of artificial intelligence, offering improved accuracy, transparency, and efficiency for a wide range of reasoning tasks. By generating and executing Python programs, NLEPs enable LLMs to better tackle complex problems, making this approach a promising tool for future AI applications in various domains.

[iwebdatascrape]

Effective Techniques To Scrape Amazon Product Category Without Getting Blocked!

Effective Techniques To Scrape Amazon Product Category Without Getting Blocked!

This comprehensive guide will explore practical techniques for web scraping Amazon's product categories without encountering blocking issues. Our tool is Playwright, a Python library that empowers developers to automate web interactions and effortlessly extract data from web pages. Playwright offers the flexibility to navigate web pages, interact with elements, and gather information within a headless or visible browser environment. Even better, Playwright is compatible with various browsers like Chrome, Firefox, and Safari, enabling you to test your web scraping scripts across different platforms. Moreover, Playwright boasts robust error handling and retry mechanisms, which can help you tackle shared web scraping obstacles like timeouts and network errors.

Throughout this tutorial, we will guide you through the stepwise procedure of scraping data related to air fryers from Amazon using Playwright in Python. We will also demonstrate how to save this extracted data as a CSV file. By the end of this tutorial, you will have gained a solid understanding of how to scrape Amazon product categories effectively while avoiding potential roadblocks. Additionally, you'll become proficient in utilizing Playwright to automate web interactions and efficiently extract data.

List of Data Fields

Product URL: The web address leading to the air fryer product.

Product Name: The name or title of the air fryer product.

Brand: The manufacturer or brand responsible for the air fryer product.

MRP (Maximum Retail Price): The suggested maximum retail price for the air fryer product.

Sale Price: It includes the current price of the air fryer product.

Number of Reviews: The count of customer reviews available for the air fryer product.

Ratings: It includes the average ratings customers assign to the air fryer product.

Best Sellers Rank: It includes a ranking system of the product's position in the Home and kitchen category and specialized Air Fryer and Fat Fryer categories.

Technical Details: It includes specific specifications of the air fryer product, encompassing details like wattage, capacity, color, and more.

About this item: A description provides information about the air fryer product, features, and functionalities.

Amazon boasts an astonishing online inventory exceeding 12 million products. When you factor in the contributions of Marketplace Sellers, this number skyrockets to over 350 million unique products. This vast assortment has solidified Amazon's reputation as the "go-to" destination for online shopping. It's often the first stop for customers seeking to purchase or gather in-depth information about a product. Amazon offers a treasure trove of valuable product data, encompassing everything from prices and product descriptions to images and customer reviews.

Given this wealth of product data and Amazon's immense customer base, it's no surprise that small and large businesses and professionals are keenly interested in harvesting and analyzing this Amazon product data.

In this article, we'll introduce our Amazon scraper and illustrate how you can effectively collect Amazon product information.

Here's a step-by-step guide for using Playwright in Python to scrape air fryer data from Amazon:

Step 1: Install Required Libraries

In this section, we've imported several essential Python modules and libraries to support various operations in our project.

re Module: We're utilizing the 're' module for working with regular expressions. Regular expressions are powerful tools for pattern matching and text manipulation.

random Module: The 'random' module is essential for generating random numbers, making it handy for tasks like generating test data or shuffling the order of tests.

asyncio Module: We're incorporating the 'asyncio' module to manage asynchronous programming in Python. It is particularly crucial when using Playwright's asynchronous API for web automation.

datetime Module: The 'datetime' module comes into play when we need to work with dates and times. It provides a range of functionalities for manipulating, creating date and time objects and formatting them as strings.

pandas Library: We're bringing in the 'pandas' library, a powerful data manipulation and analysis tool. In this tutorial, it will store and manipulate data retrieved from the web pages we're testing.

async_playwright Module: The 'async_playwright' module is essential for systematizing browsers using Playwright, an open-source Node.js library designed for automation testing and web scraping.

We're well-equipped to perform various tasks efficiently in our project by including these modules and libraries.

This script utilizes a combination of libraries to streamline browser testing with Playwright. These libraries serve distinct purposes, including data generation, asynchronous programming control, data manipulation and storage, and browser interaction automation.

Product URL Extraction

The second step involves extracting product URLs from the air fryer search. Product URL extraction refers to gathering and structuring the web links of products listed on a web page or online platform seeking help from e-commerce data scraping services.

Before initiating the scraping of product URLs, it is essential to take into account several considerations to ensure a responsible and efficient approach:

Standardized URL Format: Ensure the collected product URLs adhere to a standardized format, such as "https://www.amazon.in/+product name+/dp/ASIN." This format comprises the website's domain name, the product name without spaces, and the product's sole ASIN (Amazon Standard Identification Number) at the last. This standardized set-up facilitates data organization and analysis, maintaining URL consistency and clarity.

Filtering for Relevant Data: When extracting data from Amazon for air fryers, it is crucial to filter the information exclusively for them and exclude any accessories often displayed alongside them in search results. Implement filtering criteria based on factors like product category or keywords in the product title or description. This filtering ensures that the retrieved data pertains solely to air fryers, enhancing its relevance and utility.

Handling Pagination: During product URL scraping, you may need to navigate multiple pages by clicking the "Next" button at the bottom of the webpage to access all results. However, there may be instances where clicking the "next" button flops to load the following page, potentially causing errors in the scraping process. To mitigate such issues, consider implementing error-handling mechanisms, including timeouts, retries, and checks to confirm the total loading of the next page before data extraction. These precautions ensure effective and efficient scraping while minimizing errors and respecting the website's resources.

In this context, we eusemploy the Python function 'get_product_urls' to extract product links from a web page. This function leverages the Playwright library to automate browser testing and retrieve the resulting product URLs from an Amazon webpage.

The function performs a sequence of actions. It initially checks for a "next" button on the page. If found, the function clicks on it and invokes itself recursively to extract URLs from the subsequent page. This process continues until all pertinent product URLs are available.

Within the function, execute the following steps:

It will select page elements containing product links using a CSS selector.

It creates an empty set to store distinct product URLs.

It iterates through each element to extract the 'href' attribute.

Cleaning of the link based on specified conditions, including removing undesired substrings like "Basket" and "Accessories."

After this cleaning process, the function checks whether the link contains any of the unwanted substrings. If not, it appends the cleaned URL to the set of product URLs. Finally, the function returns the list of unique product URLs as a list.

Extracting Amazon Air Fryer Data

In this phase, we aim to determine the attributes we wish to collect from the website, which includes the Product Name, Brand, Number of Reviews, Ratings, MRP, Sale Price, Bestseller rank, Technical Details, and product description ("About the Amazon air fryer product").

To extract product names from web pages, we employ an asynchronous function called 'get_product_name' that works on an individual page object. This function follows a structured process:

It initiates by locating the product's title element on the page, achieved by using the 'query_selector()' method of the page object along with the appropriate CSS selector.

Once the element is successfully available, the function extracts the element's text content using the 'text_content()' method. Store this extracted text in the 'product_name' variable for further processing.

When the function encounters difficulties in finding or retrieving the product name for a specific item, it has a mechanism to handle exceptions. In such cases, it assigns the value "Not Available" to the 'product_name' variable. This proactive approach ensures the robustness of our web scraping script, allowing it to continue functioning smoothly even in the face of unexpected errors during the data extraction process.

Scraping Brand Name

In web scraping, capturing the brand name associated with a specific product plays a pivotal role in identifying the manufacturer or company behind the product. The procedure for extracting brand names mirrors that of product names. We begin by seeking pertinent elements on the webpage using a CSS selector and extracting the textual content from those elements.

However, brand information on the page can manifest in several different formats. For example, the brand name is by the text "Brand: 'brand name'" or appears as "Visit the 'brand name' Store." To accurately extract the brand name, it's crucial to filter out these extra elements and isolate the genuine brand name.

We can employ a function similar to the one used for product name extraction to extract the brand name from web pages. In this case, the function is named 'get_brand_name,' its operation revolves around locating the element containing the brand name via a CSS selector.

When the function successfully locates the element, it extracts the text content from that element using the 'text_content()' method and assigns it to a 'brand_name' variable. It's important to emphasize that the extracted text may include extraneous information such as "Visit," "the," "Store," and "Brand:" Eliminate these extra elements using regular expressions.

By filtering out these unwanted words, we can isolate the genuine brand name, ensuring the accuracy of our data. If the function encounters an exception while locating the brand name element or extracting its text content, it defaults to returning the brand name as "Not Available."

By incorporating this function into our web scraping script, we can effectively obtain the brand names of the products under scrutiny, thereby enhancing our understanding of the manufacturers and companies associated with these products.

Similarly, we can apply the same technique to extract other attributes, such as MRP and Sale price, from the web pages.

Scraping Products MRPs

Extracting product Ratings

To extract the star rating of a product from a web page, we utilize the 'get_star_rating' function. Initially, the function will locate the star rating element on the page using a CSS selector that points to the element housing the star ratings. Accomplish it using the 'page.wait_for_selector()' method. After locating the element, the function retrieves the inner text content of the element through the 'star_rating_elem.inner_text()' method.

However, an exception arises while finding the star rating element or extracting its text content. In that case, the function employs an alternative approach to verify whether there are no reviews for the product. To do this, it attempts to locate the element with an ID that signifies the absence of reviews using the 'page.query_selector()' method. If this element is available, assign the text content of that element to the 'star_rating' variable.

In cases where both of these attempts prove ineffective, the function enters the second block of exception. It denotes the star rating as "Not Available" without any further effort to extract rating information. It ensures the user is duly informed about the unavailability of star ratings for the specific product.

Extracting Product Information

The 'get_bullet_points' function collects bullet point information from the web page. It initiates the process by attempting to locate an unordered list element that encompasses bullet points. Achieve it by applying a CSS selector for the 'About this item' element with the corresponding ID. After locating the 'About this item' unordered list element, the function retrieves all the list item elements beneath it using the 'query_selector_all()' method.

The function then iterates through each list item element, gathering its inner text, and appends it to the bullet points list. In cases where an exception arises during the endeavor to find the unordered list element or the list item elements, the function promptly designates the bullet points as an empty list.

Ultimately, the function returns the compiled list of bullet points, ensuring the extracted information is accessible for further use.

Collecting and Preserving Product Information

This Python script employs an asynchronous " main " function to scrape product data from Amazon web pages. It leverages the Playwright library to launch the Firefox browser and navigate to Amazon's site. Following this, the "extract_product_urls" function is available to extract the URLs of each product on the page. Store it in a list named "product_url." The script proceeds to iterate through each product URL, using the "perform_request_with_retry" function to fetch product pages and extract a range of information, including product name, brand, star rating, review count, MRP, sale price, best sellers rank, technical details, and descriptions.

The gathered data is assembled into tuples and stored in a list called "data." The function also offers progress updates after handling every 10 product URLs and a completion message when all URLs are available. Subsequently, the data is transformed into a Pandas DataFrame and saved as a CSV file using the "to_csv" method. Lastly, the browser is closed using the "browser.close()" statement. Invoke the "main" function as an asynchronous coroutine via the "asyncio.run(main())" statement.

Conclusion:

This guide provides a stepwise walkthrough for scraping Amazon Air Fryer data with Playwright in Python. We cover all aspects, starting from the initial setup of the Playwright environment and launching a web browser to the subsequent actions of navigating to Amazon's search page and extracting crucial details like product name, brand, star rating, MRP, sale price, best seller rank, technical specifications, and bullet points.

Our instructions are to be user-friendly, offering guidance on extracting product URLs, iterating through each URL, and utilizing Pandas to organize the gathered data into a structured dataframe. Leveraging Playwright's cross-browser compatibility and robust error handling, users can streamline the web scraping process and retrieve valuable information from Amazon product listings.

Web scraping can often be laborious and time-intensive, but with Playwright in Python, users can automate these procedures, significantly reducing the time and effort required.

For further details, contact iWeb Data Scraping now! You can also reach us for all your web scraping service and mobile app data scraping needs.

Know More: https://www.iwebdatascraping.com/scrape-amazon-product-category-without-getting-blocked.php

[natgoodmans]

Hi! I missed you too! How are you? I totally agree about all your posts about the rerecordings which we have been over lol. The new Look What You Made Me Do sounded almost exactly the same to me lol. I would love a doc about the rerecordings and I hope it's a possibility! I will let you know how the shuffle listen of 1989 goes! I loved the green cover and especially the color of the vinyl. I'm excited to see the pink one!

Oh I totally forgot I sent that ask to you but I will be looking forward to hearing your thoughts on it. So take your time! It's just a discussion and not disagreeing or anything..if It came off like that..I can't remember everything I wrote lol.

I'm so interested in the Outsiders musical! That's one of my favorite movies but I do wonder what the songs will be like musically. Probably like 50s to match the time period? The only thing I knew about it is Angelina Jolie is a producer lol. That's such a hard question! I honestly don't know what I would pick. I think The Outsiders could be good though! Any of my favorite movies I would be interested about..lol but it's not something I've really thought about before. It's easier for me to say what kind of musical I would write. So that would be my question for you...but I'll think about it more. For the revival question, I would've said Sweeney Todd..which is already happening. I liked all the revivals from this year though. Maybe something older..but there have already been a few good ones recently..like Hello Dolly or Carousel or On The Town. Or maybe something lighthearted like Hairspray...so idk! Sometimes I like when they revive something I'm not as familiar with too..so then I can learn about a new musical. Like Spamalot is supposed to be coming maybe and I'm not familiar with it besides the Monty Python movie. Anyway what about you?

I actually read the a snippet of Red White and Royal Blue like the first chapter and I was shocked that they cut his sister out of the movie since she was in the first scene. Also that the book is his perspective..it seemed pretty equal in the movie to me. Idk when I will ever read anymore though. Cuz I still enjoyed the movie..but I totally understand what you mean too..and why you didn't..since you love the book so much! I do see a lot of gifs of it and will probably reblog at some point though. I've been pretty good! Okay great! I ended up reading up to chapter 5 and may read more tomorrow. I like it so far..it kept my interest and I like these kind of stories..since it's like past and present..we don't know exactly what happened yet. It kinda reminds me of another book I read called Some Other Now. Unfortunately that one was just okay for me but I have hope for this one. The chapters seem pretty short so I could probably read more. What pace are you thinking? I actually started another book too accidentally that seemed kinda similar. It's called I'll give you the Sun..have you ever read it? It's been on my list for a while..mainly cuz it's about twins! This one was a brother and sister though.My sister and I are identical twins haha so if you have any other books about twins..let me know lol. I am using it as an opportunity to start reading You'll Miss Me When I'm Gone again..which is also about twin sisters. I can't remember if you read it..i also loved it but I might have got busy or something. I am also still reading Business and Pleasure. So I already have a feeling I will love these and it made me excited for reading again! Like these are the kinda books I could read in a day. The movie Crush also had a pair of twin sisters which might be why I liked it more too haha. Unlike these books though, I have always mostly been super close to my sister so it's interesting to read another perspective. We have always been like the Weasley twins to me lol but if I feel disconnected to her, I can read these and feel better. I'm sorry about the health stuff and hope everything is okay as can be!

i am okay!! i have been all over the place lately </3 but things are a lot better now than they were last week! i hope you've been doing well and you have a great weekend!! 🤍

sometimes i log on and i see all these ... critiques about how things sound so different/so much worse/etc. and i'm like damn i know my hearing isn't that great but is my hearing really that bad? because it all sounds fine to me! i'm so so excited for the pink 1989 cover ! and i hope we get to do the vault unscramble again, i missed it for speak now 🤍

and you're good!! i love talking about little women, and i didn't take it that way at all! but i do have a lot to say about it (and i might end up rereading/rewatching parts of little women so i can better explain myself).

i'm so so curious about the outsiders musical! i hope it does well, and i hope it's a good adaptation. i really should get around to reading the outsiders soon! i loved the on the town revival! i really like dance heavy shows, and megan fairchild is such a beautiful dancer 🤍 i'm really torn on what i'd revive; i'd love to see a spring awakening revival but i think the deaf west revival was so perfect, i think we're due for a next to normal revival (wondering if the west end production will transfer), i feel like i have to say newsies for sentimentality's sake! i really like it when revivals do something different (like the recent oklahoma revival was phenomenal)!

and yes — june, my beloved :( very bitter about her being cut! i have not had time to read lately but i will probably sit down ... tomorrow ... and read it all in one go, hopefully! this weekend for sure! and then we can discuss!!! i read i'll give you the sun many, many years ago and liked it then but do not remember a single thing about it now! i have a lot of friends who love it though so maybe i should reread it at some point. it's so cool that you and your sister are identical twins! i'm totally blanking on books right now, but there are twins in the night circus by erin morgenstern, and i'll try to think of more twin books tomorrow!! i have not read you'll miss me when i'm gone, but it's on my list! i'm so glad you're enjoying your current reads!! 🤍

[secretload474]

Xbox Games On Macbook

I don't know of any Xbox 360 emulators that currently work on mac. There are some for PC but I don't know how the performance is with them.

Xbox Games On Macbook

Xbox Download On Mac

Can You Play Xbox Games On Macbook

Xbox 360 is one of the top gaming consoles released by Xbox. Being a seventh generation gaming console, it is capable of offering extra-ordinary gaming experience to the gamers. So, in this article, we are going to cover the top Xbox emulator which you can start using right away.

I'm aware that the xbox 360 is one powerful machine and that people had some trouble making a emulator work on a pc. I've done some research and what I've found is that some people use mac g5 for.

Xbox 360 Emulator Mac Freeware - Free Software Listing (Page3). With this simple, free and nice looking app you have the cheats for the popular game GTA V, the cheats are actually for 2 consoles, XBOX 360 and the Playstation 3.

Nintendo 64 Emulator for Mac. Mupen64 is the most popular emulator for Nintendo 64. This is by far the most stable and compatible emulator. This is a cross-platform plugin-based N64 emulator which is capable of playing most of the games accurately. However, the user must install a GTK+ for the emulator to work properly.

I'm a Xbox Game Pass for PC subscriber, and I've been trying to get the Xbox app installed in Parallels on my M1 MacBook Air since I got it this past January, but it's never been able to successfully download from the Store. We present you the BolXEmu - Emulation software developed in aim to run Xbox One and Xbox 360 games on another electronic hardware platforms. The project first started with name 'Xbox One Emux' which was just desktop PC emulator for Windows And Mac OS.And later after smartphones hardware specifications became more powerful, we finally managed to make it. After months of speculation and several reports of backroom negotiations, Microsoft has announced that all Xbox Game Pass Ultimate subscribers can now enjoy Xbox Cloud Gaming on Mac, iPhone, or iPad. No more shuffling on consoles and switiching profiles, Xbox is coming straight to the palm of your hand. “With billions of active Windows 10 PCs. Currently 64 Mac games are supporting cross-platform play. On CrossPlayGames.com you get the full list of all Mac crossplay games available. If you have an Xbox One, though, you’ve now got a decent alternative for streaming games to your Mac in the form of the new OneCast app. For just $10 (regular price $20) and a decent internet.

Because of its great performance and various playable-games, this console got huge popularity all over the world. It was released in 2005, and because of some reasons, it got discontinued in 2019. So, today we will know how you can relive those amazing moments when you play real Xbox 360 console games. Let’s uncover each Xbox 360 emulator for pc one by one below in this article.

Best Xbox Emulator for Windows Mac OSx PC

Xenia Emulator

Xenia is perhaps the most popular and effective xbox emulator ever developed to run Xbox 360 games on computers. It was written in C, C++, Assembly, and Python languages. This is the only emulator that is capable of running most of the high-end Xbox 360 games inside it. Along with Frogger 2, GTA, and MotoGP, this emulator is capable of running various other games without issues. Xenia also supports Direct3D 12.

System Requirements

Windows 8 or above (64-bit)

D3D12 compatible GPU

Any processor which supports AVX/AVX2

RAM- 2 GB Minimum.

The emulator is capable of running smoothly on any computers with the very little specification. However, to run top-notch Xbox 360 games, you must have a good PC as per the game size and performance requirements.

Important Note: This emulator is very much similar to Original Xbox emulation.

CXBX MacOS Emulator

This emulator was earlier used to run Xbox One games, but the developers enabled it to run the Xbox 360 games too. Although the emulator is not able to run most of the popular games it can effectively low-end emulator games properly.

It only supports six Xbox 360 games. This reason makes it a little bit lesser than the Xenia. The emulator will require high computing power in order to provide maximum gaming performance. Also, it will depend on the system configurations of your PC.

System Requirements

Operating System- Windows 7 or above/ macOS 10.8 or later

Intel Core i3 or AMD Athlon or above

NVIDIA GeForce 8300 GS or Intel Graphics 2500

RAM- 2 GB Minimum

Although the emulator can only run some Xbox 360 games on PC, you will be able to enjoy them a lot if you have these minimum computer specifications. The emulator is getting developed day by day, and this is the reason why it is in our list of best Xbox 360 emulators for PC.

Xeon Emulator

Xenia Xbox 360 Emulator Mac

Xeon is another popular XBOX emulator that can help you to run most of the 360 games on your computer. The things that make it popular are its stable performance and huge compatibility list. It is popular among gamers because it can run properly inside most of the windows systems.

The emulator has lots of amazing features by which it becomes capable of turning your computer into an XBOX 360 console. Its set up and running procedure is pretty easy and can be done in a couple of minutes.

System Requirements

Xbox Games On Macbook

Operating System- Windows XP or above

Latest DirectX version

Processor- Pentium 4 or above

RAM – 1 GB Minimum

Graphics Card- GeForce FX or above

The emulator is user-friendly, and playing games is pretty easy using it. Along with this, it is a free emulator, so you do not have to pay anything to start using it right away.

EX360E Emulator

This is another great emulator that can help you to run most of your favorite XBOX 360 games on your computer. It works smoothly and gives maximum gaming performance for low-end games. The emulator will run properly inside any Windows machine with fewer configurations.

It is a highly-rated and widely utilized emulator that will surely work perfectly for you too. But, make sure to have these minimum system requirements in your PC before start using it.

Xbox 360 Emulator Mac

System Requirements

Operating System- Windows 7 or later

Latest DirectX version

Processor- Intel Core i3 or above

RAM- Minimum 2 GB

Although it is an experimental emulator so you can not expect more from it, but, when it comes to playing your desired XBOX games, it can work well for you. Before using it for any game emulation, make sure to test its compatibility.

Because it is able to run various popular XBOX 360 titles inside it, you can easily use it for any sort of emulation at any time. However, you are free to contribute to it on GitHub.

VR Box 360 Emulator

It is another great xbox emulator that can provide you with a great gaming experience on your computer. At the place of Xenia emulator, it can work well for any small-end pc. However, the compatibility list is very small. But, you can try to run it on your computer and play lots of games on it.

It offers a great frame rate and overall gaming performance to the users. Because of its Radeon GPU Supports and fast game loading, you will be able to have the best experience using this emulator.

The emulator is known for its fantastic gaming experience, and this is the reason why it is in our list of best Xbox 360 emulators for PC.

System Requirements

Operating system- Windows XP or above

RAM- 2 GB Minimum

GPU- DX9 compatible GPU

Processor- Intel i3 or above

The emulator has DX9 and DX11 gaming modes that make it must more effective in its category. Also, it has a great memory consumption which is great to run big size games in it. You can try this emulator for sure in your PC in order to get the best gaming experience.

Xbox 360 Emulator Mac Os X

The Best PC Game Controllers Comparison List

DualShock 4 Wireless Controller for PlayStation 4 - Fortnite Jet Black

Brand: PlayStation Connections: Bluetooth, Micro USB terminal Color: Black Features: Like the touch pad, integrated light bar, and built in speaker

Brand: PlayStation Connections: Bluetooth, Micro USB terminal Color: Magma Red Charger Type: Standard Charger using a USB cable

Brand: 8Bitdo Sn30 Pro+ Wide Compatibility -Compatible with Android 4.0 & above, Windows 7 & above, Mac OS etc. Support Turbo Function - Customize turbo

- D Pad button layout - 4 Multi Function triggers -Quick Control Panel

- Adaptive triggers - Built-in microphone or by connecting a headset to the 3.5mm jack

Xbox 360 Emulator Macbook

Conclusion:

That was all about the XBOX emulator. We have tried to explain as much as we can. However, you are free to share your feedback in the comment section. Also, share this article with others who may also need it.

Xbox 360 Emulator Mac

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Updated 06/28/21: Xbox Cloud Gaming through the browser is now available to all Game Pass Ultimate subscribers. This article has been updated throughout with the latest information from Microsoft.

Last year, we wrote about how Apple’s restrictive App Store rules would cause millions of gamers to miss out on Microsoft’s Xbox Cloud Gaming service (née xCloud). Microsoft later updated the Xbox app to stream games over your local network from your own Xbox, but that’s not the same thing as a cloud gaming service where you don’t need to download or install games at all.

After months of hand-wringing and probably back-room negotiations, Microsoft finally announced that it would build a web-based solution for devices on which it can’t provide an app, like iPhone and iPad. After a short invite-only beta period, Microsoft has announced that all Xbox Game Pass Ultimate subscribers can now enjoy Xbox Cloud Gaming on Mac, iPhone, or iPad. To play, simply visit xbox.com/play using Edge, Chrome, or Safari browsers on your Apple device.

Most games are made to be played with a controller, but Apple’s devices support modern Xbox controllers just fine. Just sync it to your Mac as you would any Bluetooth device, or plug in via USB. On iPhone or iPad, we have a guide to pairing your Xbox One or Xbox Series X/S controller.

Xbox Download On Mac

In addition to the broad availability of Xbox Cloud Gaming (formerly code-named xCloud) to all subscribers, Microsoft has upgraded the servers that run the games in the cloud to new hardware based on the Xbox Series X. This means faster performance, much quicker loading times, and better visual quality. Games will stream at 1080p and 60fps, but the company says that “Going forward we’ll continue to innovate and add more features to enhance your cloud gaming experience.”

On Xbox, all saved games are always synced to the cloud, as is other user data like friends lists and achievements. So everything you do on a console will be there waiting for you in the cloud, and vice-versa.

Can You Play Xbox Games On Macbook

The Xbox Cloud Gaming expansion comes along with an expansion of Xbox-ready game accessories for iPhones. The popular Razer Kishi controller, originally only for Android phones, now has an MFi-certified version for iPhones. The new Backbone One controller for iPhone features a dedicated button to launch the Xbox Cloud Gaming web app. For a limited time, Microsoft is offering three-month free trial to new Xbox Game Pass Ultimate members with the purchase of either controller.

[davidfuckintennant]

I was tagged by the wonderful @galaxycastiel 💙

Rules: You can usually tell a lot about a person by the type of music they listen to. Put your favorite playlist on shuffle and list the first 10 songs. No skipping! 

Broadway Playlist

The Internet is for Porn - Avenue Q

It’s the Hard-Knock Life - Annie

Find Your Grail - Monty Python’s Spamalot

Who Loves You - Jersey Boys

Finland/ Fisch Schlapping Dance - Spamalot

Always Look On the Bright Side of Life - Spamalot

Last of the American Girls/ She’s a Rebel - American Idiot

Act II Finale - Spamalot

Boulevard of Broken Dreams - American Idiot

Coffee Break - How the Succeed in Business w/o Really Trying

[letterboxd]

How I Letterboxd #7: Cinemonster.

Hooptober’s head honcho opens up to Jack Moulton about his love for Texas-born horror director Tobe Hooper, the joys of running Letterboxd’s most beloved Hallowe’en community challenge, and the “terrifying, magical” experience of seeing Frankenstein at the age of four.

“You can’t spell October without Tobe.” —Cinemonster

Cinemonster, known to his family and friends as David Hood, is a restaurateur in Pittsburgh by day, and the head honcho of Hooptober by night. Now in its seventh year, the horror film challenge sees participants set their own 31-day viewing agenda of 31 films, curated according to a list of criteria set by its creator.

‘The Texas Chain Saw Massacre’ (1974), directed by Tobe Hooper.

With over 5,000 films logged on Letterboxd and a growing collection of posters, DVDs, Blu-rays, laser discs and film memorabilia, Cinemonster is a literal monster of cinema. He has created more than 500 lists, including a ton of year, director, actor, actress, franchise and memoriam lists.

What brought you to Letterboxd? I found Letterboxd while I was doing a Google search for a horror film that I had forgotten the name of. I ran into a list that Hollie Horror had made and wound up starting a profile and it went from there. That would have been a little over seven years ago.

How freakin’ cool is last year’s Hallowe’en Easter egg with the dripping blood from our logo? [Pro members get this added to their pages by mentioning #horror in their bio.] I’m a fan.

Unfortunately I haven’t heard of a single one of your four profile favorites! What’s urging you to highlight these films? They are just lesser-seen and have something good or great about them. Eyeball is a great little underseen Umberto Lenzi film. Death Machines is an awkward, weird and wonderful film with kung fu and blood. Massacre at Central High is one of my favorite films and sadly lacking a disc release of any kind—anyone who has seen Heathers will recognize a couple of things if they watch it. Rituals is a criminally underseen stalked in the woods film from the ’70s.

In this this list description, you explain how the original Frankenstein (1931) hooked you into horror at four years old. Can you describe what you most remember about that life-changing experience? It was both magical and terrifying. The space, the creature, the little girl. I had trouble sleeping for weeks afterwards. No matter where I am in the world, if there is a screening of Frank, I’ll go. I watched most of the major universals by the time I was six or seven. I saw Alien and Jaws 2 with my folks and those stuck with me. Cable and a local UHF station showing Hammer films on Saturdays are what really allowed me to get sucked in.

‘Frankenstein’ (1931), directed by James Whale.

The horror films of 1980 and 1981 were the most impactful and are the ones that mean the most to me to this day; Fade to Black, Night School, Motel Hell, The Fog, Alligator, Altered States, Terror Train, Death Ship, Scanners, An American Werewolf in London, The Howling, The Funhouse, Dead & Buried, Hell Night, Wolfen, Ghost Story, The Pit and Evilspeak. I saw all of them five to ten-plus times on cable as a kid. They’re still all high on my list. I am glad that Fade to Black is on Shudder. People need to watch it. More relevant now than then.

What exactly provoked you to start Hooptober seven years ago? I moved into an old spooky house and had a backlog of Blu-rays to watch and the 4K of The Texas Chain Saw Massacre was about to come out. I’d done some interactive stuff on Letterboxd previously and had a decent amount of people involved. I was also at a point in my life where 31 films in 31 days is tough, as it is for a lot of us now. So I thought ‘Why don’t I do something that starts a little early, clears some of my list out, and has some parameters that don’t feel like I am handing out an assignment?’ I grew up in Texas, Tobe [Hooper] is close to my heart, and with all the Hooper I owned and the 4K coming out, I decided to christen it with his name. You can’t spell October without Tobe.

What’s the most members that have participated in a Hooptober? The number of people who participated was a little more than I expected, but that wasn’t what I was surprised by. I never thought of it as a recurring event until I started to hear from people the following summer about ‘the next one’. I just kinda chuckled after about a dozen people had asked and I said out loud to no one, “I guess I’m doing another one of these”. We are well over 700 this year, and still climbing.

‘Fade to Black’ (1980), directed by Vernon Zimmerman.

Where do you get the ideas for the rules for films to consider watching? At this point, I look back at past years so that I don’t repeat myself. I look to the current year for inspiration. Is there a film from a sub-genre that was prominent? Was it a strong year for output from women, Mexico, Asia, Black filmmakers, something cultural, and so on? I may focus on effects creators, an actor or writer on a whim. I try to keep an eye out for blind spots I haven’t covered. Shudder, archive.org, the big streamers are all resources. Sadly, rarefilmm no longer exists.

In last year’s interview with Merry-Go-Round magazine, you mentioned plans to turn Hooptober into a film festival. How’s that going? In a post-pandemic world, how can we keep independent niche film festivals thriving? The world has not been agreeable, obviously. I’m not even sure how viable something like that will be next year. I’ve been taking a look at streaming options. Post-pandemic will require more creativity and outside-the-box thinking, and will probably continue to feed some drive-ins. Been a while since more than a handful of people wanted to put money into a drive-in, which is nice to see.

I’m going to do a tweet along to The Witch Who Came From the Sea in October, and I’ll give you an exclusive here: The George Romero Foundation and I are doing online Horror Trivia on October 11. I had been doing it live with them here in Pittsburgh until the pandemic.

Based on this year’s rules and conditions, if there was one essential you-can’t-miss film you could force all your participants to add to their challenge, which film would it be? Demons, Eve’s Bayou or The Witch Who Came From the Sea.

‘The Witch Who Came from the Sea’ (1976), directed by Matt Cimber.

What have been your own greatest film discoveries through your Hooptober adventures? A Tale of Two Sisters, I Drink Your Blood, Blood Diner, and though it is a bit of a cheat to list this one, The Amusement Park. It’s cheating because it didn’t exist as something that I or anyone else could have watched, prior to when I saw it.

Do you have any acclaimed horror movies still lingering in your list of shame? Eyes Without a Face, Upgrade, Cure and Scream 4.

Have you ever completed one of your own Hooptober challenges yet? Errrrrrrrrr, one. I’m on track this year.

What about the participants over the years—any Letterboxd friends you’ve made who would you like to give a shout-out to? Aaron, Sarah Jane and Chris Duck are people that I talk to outside of Letterboxd. There have been a few others over the years. Slappy McGee has helped me with Hooptober the last two years. They are great. Javo and David Lawrence are pretty great, too.

Before Hooptober, many of your lists invited discussion with your followers. In what ways is Letterboxd the ideal forum to foster a community of film fans? Fans exercise their fandom in so many ways. The platform is so flexible that it allows you to utilize it in a small and personal way, in a promotional way, or to dive into the community pool and see who’s out there that shares something with you or can show you something. The more people that we are exposed to and listen to, we are all the better for.

Which of your review—from any genre—are you proudest of? The Invisible Man or The Hustler, probably. I have a capsule of Hud that I like.

So, you’re the horror guy. Nobody is denying that. You are Cinemonster, after all. But when I look at your top movies list and see that Singin’ in the Rain is your all-time number one, I’ll need you to explain yourself. I go back and forth between that and Butch Cassidy and the Sundance Kid. They are 1A and 1B in some order. Singin’ in the Rain is a perfect film and the studio system at its best. I will ignore your implied insult. ;)

‘Fear of a Black Hat’ (1993), directed by Rusty Cundieff.

It’s true, even a horror aficionado needs some levity in their life. What other comedies pick you up from a dark place? Fear of a Black Hat always does the trick. Same with The Awful Truth, Murder by Death, Hollywood Shuffle, Walk Hard: The Dewey Cox Story, Blazing Saddles, Monty Python and the Holy Grail and Black Dynamite.

Who has been keeping you company during this tough year? I have watched thirteen Spike Lee films so far this year. I’ve taken a break the last few months, but I’ll probably knock out five or six more. With the exception of 25th Hour, everything is a revisit. It’s been a joy to go back through everything. Crooklyn is much stronger than I remembered, and Bamboozled just gets better and more impactful as time passes. I have loved Spike since the day I saw School Daze. His films have always connected with things that are important to me and to those that have been around me. Lee is still grossly under-appreciated as a narrative film director and a documentarian.

We’re bowing down to your epic Blu-ray and DVD collection. Which ones are your most prized possessions? Make us jealous. I have an Anchor Bay DVD of Dawn of the Dead signed by the cast and George A. Romero, a steelbook of Battle Royale, the first Slumber Party Massacre set before they had to reprint the box, the original Star Wars trilogy on Blu. I’m sure there are things I’m not thinking of. I have a lot of out-of-print and laser-only stuff. I’ll never get rid of my Holy Grail, Ghostbusters and Akira Criterion laser discs.

A selection of Cinemonster’s signed memorabilia.

I have a copy of Painting with Light signed by John Alton, John Waters and Steven Soderbergh I’ll send you a picture of. I used to collect movie posters, and I have the original Revenge of the Jedi one-sheet and the Drew Struzan Squirm poster. I do love those.

From your top directors list, let’s put one horror director on a pedestal. Who does the genre better than anyone else and why? George. They’re always topical, intelligent, thoughtful, personal and sometimes prescient. At their best they hold up both a mirror and a crystal ball. He was writing found-footage scripts in the early 70s, for god’s sake. Tobe is grossly under-appreciated. James Whale and Mario Bava could scare you in so many ways.

So, thinking beyond Ari Aster, Robert Eggers and Jordan Peele, which up-and-coming horror directors are you most excited about? Issa López, Gigi Saúl Guerrero, Benson and Moorhead, Shinichiro Ueda, Na Hong-jin, Julia Ducournau, Nia DaCosta, Jeremy Gardner and Leigh Whannell.

The 2010s were a great decade for horror. We have more money on-screen, moving away from the low-budget films of the 2000s. Which favorite horror film of the last decade inspired you the most? Get Out. What Jordan did for generations to come is unmatched in this century.

Chucky from ‘Child’s Play’ (1988).

Which probably-too-long horror franchise gets too much flak and is top-to-bottom a great time? Child’s Play. Chucky has always been treated generally as second tier. [That franchise] has tried a lot of interesting and out-there things during its lifespan that had no business working, but did.

I know it’s been a slow year but you haven’t logged many 2020 movies yet! Which is your most anticipated horror movie of 2020 or 2021? Peninsula, for sure; I love Train to Busan. Then Candyman, The Dark and the Wicked, Grizzly II: Revenge, Bad Hair, #Alive, After Midnight, The Platform, Bulbbul, Underwater, Shirley and Swallow.

Interview by Jack Moulton. Follow Jack on Letterboxd.

[psychicscavenger]

Rules: We’re snooping through your playlist. Put your entire music library on shuffle and list the first 10 songs and then choose 10 victims.

I was tagged by @coolspacequips to do this and I have an interesting music selection because of my weird tastes so lets see how this goes.

1. Pokemon Theme (of fucking course)

2. Go To Her by Jefferson Airplane (an oldie but a goodie like me)

3. Blame by Bastille (i have so many of their songs. SO. MANY.)

4. Lust For Life by Lana Del Rey ft. The Weekend (i love lanas slow tempo and this album was the BEST)

5. Possession by Amarante (one of my new favorite bands atm theyre also on bandcamp)

6. In the Dark by The Cathedrals (my other obsession atm)

7. 11:11 by Andrew Applepie (i blame julian solomita for this)

8. Harry Potter Trap Remix by Trap Remox Guys (listen I told yall Im weird and while jkr is trash this song still slaps)

9. Moon River (vocals by Audrey Hepburn) by Henry Mancini (i like alot of henry mancinis work he created the Pink Panther theme)

10. Ship to Wreck by Florence + The Machine (knew one of their songs would make it on here eventually)

Welp this is my list its a shame we didnt get to a Monty Python song or that Shia Lebouf cannibal song floating somewhere but thats the rulez!!🤪

Anyways I’m gonna tag people, of course you don’t have to do this but its something to do if you’re bored during quarantine so...

@angry-lil-goblin @poopjaculator @boychic @kindigo @springy-thingy @ladyjsenpai @confessionsofasix @challengedroom @dramaticalprince @lesbianlordsatan

So some of you I know I’ve never spoken before but I saw your handle pop up alot on my acitivty so hey whats up hows it going have a slice of pizza 🍕 hope youre doing well and once again you do not have to do this if you don’t want.

[robronsecretsanta]

Fic: Sweet Tooth

to @golaulau love from your secret santa

Robert knew better than to attempt Christmas shopping on Christmas Eve. Everyone did. Yet here he was, shuffled around with the masses of last minute shoppers getting the last few gifts he needed for his family gathering tomorrow.

If Robert has it his way he’d avoid the whole bloody day altogether, spend it eating a takeaway and drinking the expensive bottle of whisky he got from his boss as a Christmas present. He already had plans for his very hefty Christmas bonus, a nice long vacation somewhere warm and the new Audi he’d been eyeing all year.

Unfortunately, Robert has a sister; the kind that loved you absolutely and for some reason wanted to spend time with her brothers. They’d been getting along better since Katie had left Andy, doing exactly the same dance on his brother’s heart that she’d done to Robert. Nothing brought people together more than shared distain.

So now Andy focused on his two children from a previous relationship, and seemed to understand Robert a lot better, or at least was trying to.

Buying presents for them all was proving a bit of a headache though. Andy had sent him a list of things the kids wanted, all cheap and way less than Robert had been prepared to spend. Robert’s money and Andy’s lack of it was still a sticky point. It hadn’t helped when Robert had paid off the mortgage on the farm after Katie left, knowing his brother was in a bind. Andy thought Robert was throwing his weight around when Robert had just been trying to build a bridge back to who they used to be, before they’d been waring brothers and actual friends.

Plus Robert had a soft spot for Sarah and Jack, his niece and nephew who thought Uncle Rob was pretty great, even when he wasn’t showering them with gifts.

Still, last year this had all been easier when he’d left it all up to his assistant. Except Victoria had made a joke about it during the last Christmas dinner and Robert had gotten offended. It wasn’t that he couldn’t buy presents for people that were meaningful; he just didn’t have time.

So now he was standing in front of the shops with a few bags of items that didn’t seem like the right things and regretting telling Bernice he had it covered this year.

An understated but expensive Tiffany necklace for Victoria (Breakfast At Tiffany’s was her favourite film), a new Chevalier jacket for Andy (just like the one Robert had but in green, he’d noticed Andy admiring his a few months back), the latest gaming system for Jack (with enough games to make his head spin) and a new iPad for Sarah with a hefty gift card attached (the girl loved blaring her music, just like her Uncle Rob.)

So why didn’t he feel done?

He needed caffeine to make it through the rest of the evening, especially if he was going to be mad enough to keep searching for a present he didn’t actually need. This Christmas was going to be the start of a new tradition, all the remaining Sugdens together under one roof. They hadn’t done that since they were kids. Robert remembered after the day of excitement and food sitting around the living room sofa playing Monopoly with Andy while Victoria pretended to be the banker, too young to actually understand the game. No one ever really won, they’d just play until it was time for bed, for once not arguing over who was the better man.

Robert ducked into the first Starbucks he saw, thankful that the line was only halfway across the store. He juggled the bags in his hands, trying to ease the pull of cheap plastic against his wrists. He ended up jostling into the body in front of him.

“You alright, mate?”

Robert had intended to be polite and beg forgiveness from the person who turned around to look at him. He had intended to be apologetic and charming. Then he met a pair of crystal clear blue eyes and his brain short circuited.

“Huh?”

Robert closed his eyes at his own stupidity but opened them to the sound of deep laughter. Those eyes belonged to a stubbled face, broad shoulders and a voice that made Robert’s insides feel like they had collected in a pile at his feet.

“Yeah I know the feeling. Not a fan of crowds myself.”

Robert had absolutely no idea why this man was talking to him and his tongue seemed to be stuck to the roof of his mouth. Robert wondered if he was drooling? He might be drooling. A man this gorgeous needed to walk around with some kind of warning label. Also, say something Sugden, Jesus.

“Sorry about that, it’s bedlam everywhere innit it?”

Good job, ask him a question. Get him to keep talking. That way you can look at his face more. Robert really liked that face.

“Serves us right waiting until the last minute like this. At least someone will be very happy tomorrow.”

Gorgeous Stranger motioned to the bags in Robert’s hand with a jut of his stubbled chin, specifically the bright Tiffany blue one.

“It’s for my sister. I’m single.”

Robert wanted the ground to open up and swallow him whole. Yes, tell Insanely Attractive that you’re single after 30 seconds. Way to keep a cool head. Thankfully before Robert could shove his foot any further into his mouth one of the barista’s shouted “Next!” and Blue Eyes turned away from him.

Instead, he stared at the back of the man, tried to gauge his age. Younger than Robert, but not by much. He wished Touchable Hair wasn’t wearing such a puffy jacket, but it showed off how broad his shoulders were. He looked cool in that whole “I don’t have to try to work at being attractive because I am, I just don’t know how much” kind of way. Robert was more of a “Yeah I look good but when I try I look better” man himself. They didn’t create well fitted suits for no reason and he wasn’t going to squander what God gave him by not enhancing it.

Wonder what Hidden Biceps would look like in a suit? Wonder what he would look like out of a suit? Or in just a tie? Or in…

“Uh, Sir?”

Robert realized he was next in line and had been daydreaming like an idiot.

“Yeah, Grande Peppermint Mocha, extra shot of peppermint, please”

Robert loved anything sweet; it was another addiction along with Calvin Klein boxer briefs, his sisters shepherd’s pie, and his Monty Python’s Flying Circus box set.

He paid for his order and headed to wait for his drink. Wet Dreamwas leaning with his back against the wall, tapping away on his phone. Robert rolled his eyes at the slowed down guitar riff version of Jingle Bells that was being pumped through the sound system.

He only had about three or four more minutes to look his fill before they’d go back to their shopping and on with their lives. They’d never see each other again.

So what would be the harm in offering Look At Those Thighs his number? Robert was usually more self assured than this. Clearly Christmas and the nostalgia was getting to him, taking him back to when he was an insecure boy, not the confident Robert of today. He was dressed nice, leather jacket over his well fitted jeans. His hair was probably perfect and he’d gone to the gym this morning.

If Kissable Mouth turned him down it was his loss than wasn’t it?

Emboldened he stepped forward just as Scruffy Sex On A Stick put the phone to his ear and started talking.

“Yeah, I’ll be home soon. Of course I’ll pick up dinner on be way; God help us if you decided to cook.”

Robert’s stomach sank, Unavailable Dream Man was beaming as he talked on the phone and that could only mean one thing, love. It was punctuated even further by the throaty laugh that spread want through Robert’s entire body.

“Yeah, I love you too. See you soon.”

Seriously Fuckable shoved his phone in his pocket and offered Robert a smile as he reached for the cup the barista put before them on the counter. Robert offered him a tight smile, trying to not show disappointment that this was the end of their epic love story.

He sighed as I Want His Mouth On Me took a large sip of his drink and turned to walk away, until he heard the sputtering and coughing.

“Ugh, what the hell is this?”

Robert looked at the cup, saw his name written on the side and grimaced.

“Sorry mate, I think that was mine.”

Adorable Frown shook his head and looked down at the cup in his hand, finally realizing he’d grabbed the wrong drink and downed Robert’s sugary concoction.

“You actually like this stuff?”

Robert couldn’t help but laugh.

“It’s Chrismassy.”

“So is holly but you don’t see me blending it up and swinging it back.”

Hot And Sarcastic smiled at Robert’s short burst of laughter and dropped the drink into the garbage can beside him.

“Well let me get you another one, because there was something clearly wrong with whatever that was.”

“No, really it’s fine.”

“Look mate, you want to drink this swill, I ain’t gonna stop yah. Let me please, my fault after all.”

Robert opened his mouth to protest again until I Want To Lick Himraised his eyebrow in a seductive challenge that had Robert licking his own lips instead.

“Yeah, okay. Peppermint Mocha, extra shot of peppermint.”

Are Those Eyes Even Real grinned and moved past Robert, going to the head of the line and gesturing slightly before handing the barista more money than it should cost. The barista looked Robert’s way, grinned, writing the order on the cup and passing it over to be made.

Robert was trying to think of something impressive and lasting to say but once again words failed him. Instead, Smells Good Enough To Eat snagged his correct drink off the counter and kept walking, a friendly “Happy Christmas” thrown over his shoulder that sent a shiver down Robert’s spine.

Ugh, Robert hated himself and the world in general as he watched All The Good Ones Are Taken disappear out of sight.

“Sweet Tooth.”

Robert blinked and looked at the barista as she held out a red take away cup towards him.

“Excuse me?”

“Peppermint Mocha with extra peppermint, he said your name was Sweet Tooth.”

Robert smiled at her and took the cup from her hand. She winked at him and turned back to making another drink. It wasn’t until he was out on the street that he looked at the cup more closely and noticed the phone number scribbled on it with a heart and the name Aaron in bold letters.

One Year Later

Robert scrolled through his phone, reading intently the article he’d found about Monopoly strategies. He was going to wipe the floor with Andy this Christmas.

After he’d left Starbucks a year ago, he’d headed to the nearest game store and bought the swankiest version of the game they made. It was pretty expensive but it would last forever, mahogany board and actual silver pieces. There was even a banker drawer which he knew would make Vic happy.

Christmas on Andy’s farm has been tense at first, Andy giving him a tight smile with every excited squeal Sarah and Jack made over the presents Robert gave them. It wasn’t until everyone was done that he pulled out the game, wrapped in gold paper with a giant red bow and placed it in front of Victoria with a flourish.

“So this is a Sugden present; it’s for all of us.”

Victoria had cried when she’d opened it and Andy has just looked at him, a genuine smile on his face and declared he was going to wipe the floor with Robert.

The kids hadn’t been too interested but after dinner the original Sugden kids had played well into the night, Victoria losing early but still willing to hand out money and hold the deeds. They’d finally called it a draw at midnight after too much wine and a lot of laughter.

But for the last few weeks, Andy has been texting him trash talk about the upcoming game and Robert was not going down without a fight.

A slight cough made him raise his head and take in Sexy In A Ridiculous Christmas Jumper as he held out a mug for Robert.

“You are not actually looking up Monopoly strategies online are you?”

Robert took the cup, smiled at the candy cane and whip cream piled out of his hot chocolate that The Best Thing That Ever Happened To Me had made for him.

“Aaron, he’s been winding me up for weeks. It’s a matter of pride now.”

Sweetest Smile just rolled his eyes but sat down on the couch and snuggled into Robert’s side.

“What time do we have to leave to get Liv?”

“Not for another hour yet. But I’m driving, you know what you’re like after…”

He Knows Me So Well waved his hands at the empty chocolate wrappers on the coffee table and the cup of sugar Robert was drinking.

“Only if I get to pick the radio station.”

“Ugh, fine.”

It had taken every ounce of willpower Robert had possessed to wait until after the holidays before he called Hogs All The Covers and asked him out to dinner.

Robert was in love before their appetizers made it to the table.

In the year since, they’d argued over everything under the sun, gone on vacation to Spain, met each other’s families, and were about to celebrate their first Christmas together in the home they shared.

It’d been a wild ride and it wasn’t about to stop anytime soon. Because they had Liv, Kindest Person I Know’s little sister, to pick up from the airport. She was going to be the first guest in their newly redecorated spare room.

Christmas Eve was with the Dingles and Christmas Day was with the Sugdens. Somewhere in between all that Robert was hoping to get a few moments alone with God I Love Him So Much It Hurts, because he had a ring box hidden in their Christmas tree and a question he wanted to ask.

“You’re not going to win the game, you know that right?”

Robert looked at I’m Going To Marry Him in mock horror.

“Aaron, whose side are you on here?”

I Can’t Wait To Spend My Life With You just snuggled in closer and lifted his face to Robert’s

“Mine, because I’m playing this year. I am going to own you, Sugden, just wait and see.”

Robert couldn’t resist tipping his head down and pressing a kiss on those lips before he whispered against them.

“You already do, Aaron. You already do.”

[some-dark-side-writing]

Who’s The Biggest Bad

Dark x reader

Request: Have you ever written anything with a Dark!Reader before? Or something of that sort? If not, would it be ok if I added that to the request list? (I need that angst in my life) With a gender neutral reader, something like either them suddenly feeling horrible around their ego so, which turns out to be the reader’s own ego or something? I’m bad at making up plots yghhh but I love your fics and thought I’d give requesting something a try

(Tw: blood)

Dark was worried. But he also found it hard to tell you he was worried. Whenever he’d mention you acting strange... or rather talk to you at all come to think about it, you’d shout and block yourself off from him. It was unlike you to yell at him without some serious lapse in his own judgement that caused it. And... it didn’t make him feel too good that whatever he did you were always so upset with him afterwards.

He’d only been able to ask dr iplier for his more rational opinion when sometimes you seemed to break out of your bubble of hatred. Dark remembered clearly...

“Darling? What are you doing?” It was an innocent question. He’d set down the shopping bags by the front door, after admiring the portrait of the two of you hanging in the hallway, since he’d refused to let you leave that day. You had all the signs of a fever, and he let groceries melt in order to come stand by your side.

You were sitting right up against the fireplace, and you had small blisters on your fingertips from where you’d obviously gotten too close.

“Let me see-“ Dark sighed, lifting your hand into his before you slapped it away. Dark’s eyes widened, letting go of your hand in surprise as you curled in on yourself even more. He clicked his tongue. “Darling you haven’t moved since I left.”

“Yeah. Whooptee fuckin doo Sherlock, why do you care?” You spat. He just... ugggggh, he was pissing you off so much right now, why couldn’t he leave you alone? You couldn’t believe you’d kissed him when he left just an hour ago. Yuck.

Dark merely ground his teeth together, completely unsure of what to say to make this situation, whatever it was, better. He straightened, standing next to you as he tilted his head to the side, red and blue hinting in his shadow. “Have I... done something to upset you, my love-“

“I’m not ‘your love’ I’m not yours at all! And would you stop babying me I don’t need or want you around all the time!” With that you’d ran to the spare room, not the one you shared with Dark, and slammed the door, hard enough for the hinge to come off which concerned Dark massively. Especially since you were ill and he wasn’t allowed to help you. But he remembered being so angry and confused (and not hurt whatsoever nope) that he just left you there, and he definitely took it out on Host when he came round to ask about the next meeting from what you could hear upstairs.

From what you remember you came out crying. This was hours later. And Dark had been good to you, even though he had every reason not to be.

He scooped you up into his arms, setting you down on his lap as soon as you shuffled into his room. His book was thrown to the side as well as his expensive reading glasses in order to hold you better.

You were shaking, eyes reddening from how long you’d been crying. “I... d-don’t know w-what’s wrong with m-m-me...” you hiccuped out, clinging onto Dark’s neck as you sniffled. You didn’t catch Dark’s wide eyes in the moment, barely able to look at him.

“Nothing’s wrong with you. Everyone has bad days okay, lets things slip they regret? Don’t they kitten? You’re just sick.” He wiped a strand of your messy hair form your slicked forehead, placing the back of his hand to it as he noticed your fever hadn’t improved.

“N-no. It’s not just that.” You said with shaking breath, hands clinging onto Dark’s silk silver pyjama top for dear life, ripping one of his buttons off without ever noticing, Dark fixed it in the morning. “It’s like I have something cold inside of me, and it’s rising up and expanding inside of me and it’s disgusting like jelly, and it makes me feel disgusting. Not just because it makes me feel like death-“ You interrupted before Dark could suggest yet again it was just a virus. “No it ma-... it made me want to hurt you Dark.” You burst into tears, Dark passing you tissues over and over as you couldn’t bear to look at him. “I don’t wanna be like this...”

This wasn’t you, and Dark knew it. That idiot doctor couldn’t come up with any conclusions but Dark knew you weren’t this hateful person you had shown to be. And his suspicions were narrowing down.

This was a month later and he’d come back from a meeting expecting to see you still asleep, you slept most of the day now and were sick on and off. Instead he found you... admiring yourself, in the mirror, he watched your hands slide up your hips, your head turn from side to side, but he knew you weren’t putting on a show for him because you bounced away from the mirror as soon as you heard him coming. It raised Darks suspicions that with the heavy metal you were listening to you shouldn’t have been able to hear his footsteps all the way down the hall.

You pressed pause on the speakers, turning to him with a full toothy grin. “...Dark... Baby... I’ve been waiting for you.” You smirked, opening your arms for the dark side. He moved forward, wrapping his arms around you and at the same time he kissed your cheek his hand squeezed your left buttcheek. You shot back, looking shocked and Dark didn’t miss the hint of repulsion before playfulness miraged in your eyes. You slapped his shoulder. “Don’t tease me like that.” You chuckled, finger twirling around his tie and bringing him closer “Or you may make me do something you wouldn’t want me to do, honey.” Your voice trickled with domination and power and Dark grabbed your throat, pushing the two of you back till you hit the wardrobe and when you smirked Dark smirked back.

And then he squeezed.

It was as tight as a python and your hands were slapping at Dark’s own, fear playing in the features of your face. Dark’s head tilted to the side, a horrible cracking sound emerging that put genuine shock on your face, making the red of Dark laugh as the Blue screamed. “Who are you?”

Tears were pooling in the corner of your eyes. “Dar... it’s... me-“ you spluttered but Dark now took his other hand and pinned your throat with more force.

With one quick motion your hand snapped to your back pocket but you came back empty handed. One of Dark’s hands now moved to his back pocket. Smirking as he brought out the black pistol he’d stolen when he hugged you.

“You didn’t really think I wouldn’t notice the portrait to the safe angled wrong did you?” He snarled, bringing the pistol and pointing it at your head, at a distance so you couldn’t grab it. “Although” he growled “Y/N would have known that. Which solidifies the fact that you’re not Y/N...”

Your face, filled with fear, slowly turned into a smirk under Darks shaking hands, he was so full with rage, the topper being when you blinked and your once beautiful Y/E/C eyes turned black as night.

“Surely... you don’t wanna... kill... my host,... lover.” It smirked at him but Dark knew it was right. Dark dropped your body to the ground but before whoever was in you could get up he handcuffed it to the bedpost, growling as he stood above them, the whole room being covered in black with red and blue screaming out the sides.

It smiled up at him slightly worn out. “I’d ask where the handcuffs are from, but I don’t think I want to know.”

“Hold your tongue.” He ordered, shining a light into its eyes and tilting its chin with a hard grip. They clenched their teeth “But you’re never going to use them on this body ever again, for any... intention.”

Dark slapped them hard enough for their head to snap to the side.

His fists were shaking, breath glaring out in fast spurts through his nostrils as he stared down the creature imitating you, donning black eyes himself now.

It turned towards him, smiling as it spat blood out, turns out Dark had hit them a bit more than he realised in his rage but he wasn’t hurting you, he was hurting it.

“Now now.” They spat some more red out “You wouldn’t want to maim your lover would you?” They chided, their whole body still but head spinning so their eyes were always on the ego with the power in this room.

Dark grumbled, crossing his arms as he smiled sweetly with only pure hate dripping from his honeyed voice. “But you’re not my lover. If you give Y/N back to me then they won’t be hurt, I promise you.” He extended his hand out to shake their own, his smile only widening as they scowled and couldn’t move to reciprocate the gesture.

“Oops.” Dark chimed “Can’t shake on it? A little tied up? Then we’ll talk terms instead.” He grabbed his rocking chair he used for reading, and so did you now you’d moved in, that was sitting in the corner and placed it at the end of the bed. Legs together, palms resting on his knees and leaning forward curiously, he made them wait in that position infuriatingly long before breaking the silence. “So. Who are you?”

“Fuck you.” It hissed, turning it’s-your head to the side and refusing to look at Dark. Dark just chuckled, a threatening sound as he slowly rose from his chair, his fingertips gliding up your calf as he strode closer to the things face. “No no no. You see I save that privilege for only one person, and right now you’re taking control of them, but I don’t think you’d call that a privilege so why don’t you leave so we could resume our business, hm?”

It rolled your eyes and shuddered, looking back at him with narrowed eyes “I can’t even think of a retort for that” suddenly they clicked their tongue, and their voice rose in pitch, excitedly “Come to think of it. If I can’t think of ways to use this tongue... then why do I even need it?”

Before Dark could ask another question his eyes widened in horror as the thing possessing you bit down hard on your tongue and wouldn’t let go.

It chuckled through its teeth as Dark ran to stop them from biting your tongue off.

He somehow managed to subdue them, his fingers covered in bite marks, his blood mixing with your own as he screamed, all 3 versions of him, one blue, one red, and one grey, throttled it against the bed frame, banging its head enough to not cause you any substantial injury but to knock it out through his wrath because you were going to end up mute if he didn’t do something. He took the opportunity to stick a ball gag in your mouth as you were dazed, eyes watery before finally focusing on Dark again, who’s smiled sweaty and victorious.

“Now.” He slicked his hair back as pain started rushing through you. “You’re going to talk, or you will, once you’ve begged to be allowed that opportunity when I’m done with you.”

You burst into tears, you didn’t understand why he wouldn’t listen to you! He came in and just started beating you, and now your head was pounding and you were gagged. What was he planning on doing? Was this truly the man you loved? You needed to get out of this.

“I REA-Y TO -EG -LEASE!!!” -LEASE -ARK!” You wheezed, trying to speak as best you could through your obstacle that you once felt safe using with him, now you weren’t even comfortable with him looking at you.

But his look turned from deranged anger to confusion... then back to anger. You watched in terror as he came right up to your face, nose to nose as his hand reclaimed is place around your throat, just like it had done earlier today when you were trying to...

You were pulled out of that memory as another traumatic one was forming. “DON’T PLAY GAMES WITH ME!!! I’LL THROW YOU INTO HELL WHERE YOU BELONG!” His other hand wrapped around his first and he squeezed. “WHERE’S Y/N?!!” He screamed into your ear and you felt deafened, hand that wasn’t tied up scratching at his as your lips turned blue.

It was only when you looked into his eyes Dark realised they were no longer black. Bloodshot now, and utterly wrecked with fear.

He let go, hands dropping to his sides as he watched you just cry and cry, screaming for help and groan in pain whenever you writhed. Which happened a lot as Dark stalked closer, you cried into the ball gag, head turned away from him and hair falling like a curtain between the two of you, your heart hurt with how heavy it was beating.

Dark fingers were shaky, this time with something other than anger as he pulled your hair ever so lightly under your ear, watching as your screwed up eyes, head turned to the side and pressing against the head board so as not to let him near you, spilled hot tears everywhere.

It was you.

Dark rushed to undo the ball gag, your eyes opening but still finding it hard to see through your blurred tears, finding it difficult to hear his “Fuck, Y/N? Darling I’m so so sorry! Can you hear me?! Where does it hurt kitten I’ll get the doctor immediately. Baby, can you speak?” He only called you baby when he was really worried, out of his mind with it.

As soon as your handcuff was undone you rushed to the bathroom, locking yourself in it from the inside and hiding under the sink, putting your laundry basket next to the door although you knew that wouldn’t stop him. As you closed your eyes and rocked, hands covering your ears your senses were refilled with Dark choking you against the cupboard. Dark aiming a gun at you. Dark hitting your cheek with enough power to drop you to the floor. Dark doing something to your mouth, as you finally identified the metallic taste making you feel sick.

Dark pounded on the door. “Y/N!?!” He panicked, taking a deep breath and within a moment the pounding turned into a light knock. “You need to let me in Y/N, I need to protect you.” He couldn’t imagine all the horrible things you were thinking right now, but it was a good job he wasn’t a mind reader ; because not only would it have crushed him to know all the horrific things you were thinking of him right now, but he would have been able to see you running under the hole in the back garden fence and sprinting bare foot away from the house....

(Notes: and that’s it for now! Sorry to make this into a two parter but I had so many ideas and I couldn’t fit it all in one. Anon who requested this I promise I will do the next part at some point to finish your request)

[iwebdatascrape]

Effective Techniques To Scrape Amazon Product Category Without Getting Blocked

Effective Techniques To Scrape Amazon Product Category Without Getting Blocked!

This comprehensive guide will explore practical techniques for web scraping Amazon's product categories without encountering blocking issues. Our tool is Playwright, a Python library that empowers developers to automate web interactions and effortlessly extract data from web pages. Playwright offers the flexibility to navigate web pages, interact with elements, and gather information within a headless or visible browser environment. Even better, Playwright is compatible with various browsers like Chrome, Firefox, and Safari, enabling you to test your web scraping scripts across different platforms. Moreover, Playwright boasts robust error handling and retry mechanisms, which can help you tackle shared web scraping obstacles like timeouts and network errors.

Throughout this tutorial, we will guide you through the stepwise procedure of scraping data related to air fryers from Amazon using Playwright in Python. We will also demonstrate how to save this extracted data as a CSV file. By the end of this tutorial, you will have gained a solid understanding of how to scrape Amazon product categories effectively while avoiding potential roadblocks. Additionally, you'll become proficient in utilizing Playwright to automate web interactions and efficiently extract data.

List of Data Fields

Product URL: The web address leading to the air fryer product.

Product Name: The name or title of the air fryer product.

Brand: The manufacturer or brand responsible for the air fryer product.

MRP (Maximum Retail Price): The suggested maximum retail price for the air fryer product.

Sale Price: It includes the current price of the air fryer product.

Number of Reviews: The count of customer reviews available for the air fryer product.

Ratings: It includes the average ratings customers assign to the air fryer product.

Best Sellers Rank: It includes a ranking system of the product's position in the Home and kitchen category and specialized Air Fryer and Fat Fryer categories.

Technical Details: It includes specific specifications of the air fryer product, encompassing details like wattage, capacity, color, and more.

About this item: A description provides information about the air fryer product, features, and functionalities.

Amazon boasts an astonishing online inventory exceeding 12 million products. When you factor in the contributions of Marketplace Sellers, this number skyrockets to over 350 million unique products. This vast assortment has solidified Amazon's reputation as the "go-to" destination for online shopping. It's often the first stop for customers seeking to purchase or gather in-depth information about a product. Amazon offers a treasure trove of valuable product data, encompassing everything from prices and product descriptions to images and customer reviews.

Given this wealth of product data and Amazon's immense customer base, it's no surprise that small and large businesses and professionals are keenly interested in harvesting and analyzing this Amazon product data.

In this article, we'll introduce our Amazon scraper and illustrate how you can effectively collect Amazon product information.

Here's a step-by-step guide for using Playwright in Python to scrape air fryer data from Amazon:

Step 1: Install Required Libraries

In this section, we've imported several essential Python modules and libraries to support various operations in our project.

re Module: We're utilizing the 're' module for working with regular expressions. Regular expressions are powerful tools for pattern matching and text manipulation.

random Module: The 'random' module is essential for generating random numbers, making it handy for tasks like generating test data or shuffling the order of tests.

asyncio Module: We're incorporating the 'asyncio' module to manage asynchronous programming in Python. It is particularly crucial when using Playwright's asynchronous API for web automation.

datetime Module: The 'datetime' module comes into play when we need to work with dates and times. It provides a range of functionalities for manipulating, creating date and time objects and formatting them as strings.

pandas Library: We're bringing in the 'pandas' library, a powerful data manipulation and analysis tool. In this tutorial, it will store and manipulate data retrieved from the web pages we're testing.

async_playwright Module: The 'async_playwright' module is essential for systematizing browsers using Playwright, an open-source Node.js library designed for automation testing and web scraping.

We're well-equipped to perform various tasks efficiently in our project by including these modules and libraries.

This script utilizes a combination of libraries to streamline browser testing with Playwright. These libraries serve distinct purposes, including data generation, asynchronous programming control, data manipulation and storage, and browser interaction automation.

Product URL Extraction

The second step involves extracting product URLs from the air fryer search. Product URL extraction refers to gathering and structuring the web links of products listed on a web page or online platform seeking help from e-commerce data scraping services.

Before initiating the scraping of product URLs, it is essential to take into account several considerations to ensure a responsible and efficient approach:

Standardized URL Format: Ensure the collected product URLs adhere to a standardized format, such as "https://www.amazon.in/+product name+/dp/ASIN." This format comprises the website's domain name, the product name without spaces, and the product's sole ASIN (Amazon Standard Identification Number) at the last. This standardized set-up facilitates data organization and analysis, maintaining URL consistency and clarity.

Filtering for Relevant Data: When extracting data from Amazon for air fryers, it is crucial to filter the information exclusively for them and exclude any accessories often displayed alongside them in search results. Implement filtering criteria based on factors like product category or keywords in the product title or description. This filtering ensures that the retrieved data pertains solely to air fryers, enhancing its relevance and utility.

Handling Pagination: During product URL scraping, you may need to navigate multiple pages by clicking the "Next" button at the bottom of the webpage to access all results. However, there may be instances where clicking the "next" button flops to load the following page, potentially causing errors in the scraping process. To mitigate such issues, consider implementing error-handling mechanisms, including timeouts, retries, and checks to confirm the total loading of the next page before data extraction. These precautions ensure effective and efficient scraping while minimizing errors and respecting the website's resources.

In this context, we eusemploy the Python function 'get_product_urls' to extract product links from a web page. This function leverages the Playwright library to automate browser testing and retrieve the resulting product URLs from an Amazon webpage.

The function performs a sequence of actions. It initially checks for a "next" button on the page. If found, the function clicks on it and invokes itself recursively to extract URLs from the subsequent page. This process continues until all pertinent product URLs are available.

Within the function, execute the following steps:

It will select page elements containing product links using a CSS selector.

It creates an empty set to store distinct product URLs.

It iterates through each element to extract the 'href' attribute.

Cleaning of the link based on specified conditions, including removing undesired substrings like "Basket" and "Accessories."

After this cleaning process, the function checks whether the link contains any of the unwanted substrings. If not, it appends the cleaned URL to the set of product URLs. Finally, the function returns the list of unique product URLs as a list.

Extracting Amazon Air Fryer Data

In this phase, we aim to determine the attributes we wish to collect from the website, which includes the Product Name, Brand, Number of Reviews, Ratings, MRP, Sale Price, Bestseller rank, Technical Details, and product description ("About the Amazon air fryer product").

To extract product names from web pages, we employ an asynchronous function called 'get_product_name' that works on an individual page object. This function follows a structured process:

It initiates by locating the product's title element on the page, achieved by using the 'query_selector()' method of the page object along with the appropriate CSS selector.

Once the element is successfully available, the function extracts the element's text content using the 'text_content()' method. Store this extracted text in the 'product_name' variable for further processing.

When the function encounters difficulties in finding or retrieving the product name for a specific item, it has a mechanism to handle exceptions. In such cases, it assigns the value "Not Available" to the 'product_name' variable. This proactive approach ensures the robustness of our web scraping script, allowing it to continue functioning smoothly even in the face of unexpected errors during the data extraction process.

Scraping Brand Name

In web scraping, capturing the brand name associated with a specific product plays a pivotal role in identifying the manufacturer or company behind the product. The procedure for extracting brand names mirrors that of product names. We begin by seeking pertinent elements on the webpage using a CSS selector and extracting the textual content from those elements.

However, brand information on the page can manifest in several different formats. For example, the brand name is by the text "Brand: 'brand name'" or appears as "Visit the 'brand name' Store." To accurately extract the brand name, it's crucial to filter out these extra elements and isolate the genuine brand name.

We can employ a function similar to the one used for product name extraction to extract the brand name from web pages. In this case, the function is named 'get_brand_name,' its operation revolves around locating the element containing the brand name via a CSS selector.

When the function successfully locates the element, it extracts the text content from that element using the 'text_content()' method and assigns it to a 'brand_name' variable. It's important to emphasize that the extracted text may include extraneous information such as "Visit," "the," "Store," and "Brand:" Eliminate these extra elements using regular expressions.

By filtering out these unwanted words, we can isolate the genuine brand name, ensuring the accuracy of our data. If the function encounters an exception while locating the brand name element or extracting its text content, it defaults to returning the brand name as "Not Available."

By incorporating this function into our web scraping script, we can effectively obtain the brand names of the products under scrutiny, thereby enhancing our understanding of the manufacturers and companies associated with these products.

Similarly, we can apply the same technique to extract other attributes, such as MRP and Sale price, from the web pages.

Scraping Products MRPs

Extracting product Ratings

To extract the star rating of a product from a web page, we utilize the 'get_star_rating' function. Initially, the function will locate the star rating element on the page using a CSS selector that points to the element housing the star ratings. Accomplish it using the 'page.wait_for_selector()' method. After locating the element, the function retrieves the inner text content of the element through the 'star_rating_elem.inner_text()' method.

However, an exception arises while finding the star rating element or extracting its text content. In that case, the function employs an alternative approach to verify whether there are no reviews for the product. To do this, it attempts to locate the element with an ID that signifies the absence of reviews using the 'page.query_selector()' method. If this element is available, assign the text content of that element to the 'star_rating' variable.

In cases where both of these attempts prove ineffective, the function enters the second block of exception. It denotes the star rating as "Not Available" without any further effort to extract rating information. It ensures the user is duly informed about the unavailability of star ratings for the specific product.

Extracting Product Information

The 'get_bullet_points' function collects bullet point information from the web page. It initiates the process by attempting to locate an unordered list element that encompasses bullet points. Achieve it by applying a CSS selector for the 'About this item' element with the corresponding ID. After locating the 'About this item' unordered list element, the function retrieves all the list item elements beneath it using the 'query_selector_all()' method.

The function then iterates through each list item element, gathering its inner text, and appends it to the bullet points list. In cases where an exception arises during the endeavor to find the unordered list element or the list item elements, the function promptly designates the bullet points as an empty list.

Ultimately, the function returns the compiled list of bullet points, ensuring the extracted information is accessible for further use.

Collecting and Preserving Product Information

This Python script employs an asynchronous " main " function to scrape product data from Amazon web pages. It leverages the Playwright library to launch the Firefox browser and navigate to Amazon's site. Following this, the "extract_product_urls" function is available to extract the URLs of each product on the page. Store it in a list named "product_url." The script proceeds to iterate through each product URL, using the "perform_request_with_retry" function to fetch product pages and extract a range of information, including product name, brand, star rating, review count, MRP, sale price, best sellers rank, technical details, and descriptions.

The gathered data is assembled into tuples and stored in a list called "data." The function also offers progress updates after handling every 10 product URLs and a completion message when all URLs are available. Subsequently, the data is transformed into a Pandas DataFrame and saved as a CSV file using the "to_csv" method. Lastly, the browser is closed using the "browser.close()" statement. Invoke the "main" function as an asynchronous coroutine via the "asyncio.run(main())" statement.

Conclusion:

This guide provides a stepwise walkthrough for scraping Amazon Air Fryer data with Playwright in Python. We cover all aspects, starting from the initial setup of the Playwright environment and launching a web browser to the subsequent actions of navigating to Amazon's search page and extracting crucial details like product name, brand, star rating, MRP, sale price, best seller rank, technical specifications, and bullet points.

Our instructions are to be user-friendly, offering guidance on extracting product URLs, iterating through each URL, and utilizing Pandas to organize the gathered data into a structured dataframe. Leveraging Playwright's cross-browser compatibility and robust error handling, users can streamline the web scraping process and retrieve valuable information from Amazon product listings.

Web scraping can often be laborious and time-intensive, but with Playwright in Python, users can automate these procedures, significantly reducing the time and effort required.

Know More: https://www.iwebdatascraping.com/scrape-amazon-product-category-without-getting-blocked.php

[bookmawkish]

Just a patient, part 5

Part 1 | Part 2 | Part 3 | Part 4 | Part 5

All my fanfictions (includes more Loki)

Tag list for Loki fics: @only-kneel-before-loki @ohhhmyloki @1800-fight-me@tarynkauai @rainhowling @hanasonly @dean-the-trickster @nikora3010@skip-the-static @sailor-moons-butt @clockworkherondale @oatballsoffury @artbysteph87 @smginger1131

If you want on or off the tag list, just say! Hope I didn’t miss anyone!

It’s always been a dream of yours to touch a tiger.

You were eight. You first saw tigers on TV. Huge cats, almost the size of horses to your mind, striped like bars of sunlight. You almost couldn’t conceive of something so big, when “cat” to you was something you could pick up and hold in your arms. When you were ten and saw your first real tiger at the Cincinnati Zoo, passing inches away from you behind the barrier, you could practically feel the smooth, flat hide, the almost-bristle of that close-lying fur. The hot, animal stink suffusing the air around you. You wanted to touch that pacing tiger more than anything else in the world, even though you knew that it could take your arm off with barely a thought. The call of the void is strong, as you have learnt in your adult life. That thing which pulls at us when we stand at the edge of the precipice, telling us against all sense to throw ourselves off. The dark tug of desire to simply pull a trigger, throw a punch, when the anger is high and the provocation almost (but not quite) too great. The void is in all of us, and even at ten years old you’d felt its teeth, as sharp and lethal as the teeth of that zoo tiger.

Later you went to the snake house, and met real horror for the first time. You didn’t want to meet the blank, staring beaded eyes, see the aching expandable jaws. The relentless undulation of the lemon python in particular had put your teeth on edge, as if it were under your skin, constantly moving and bulging, back and forth in the dim light. That pallid snake had never left you, those jewelled eyes, that sense of completely alien perception. If the tiger was your dream, these circling, muscular forms were your nightmare.  You’d moved through the musty, bitter-scented gloom as quickly as you could, and out again into the air, the sun.

But it had been a good day, all in all. Your father had bought you a plush tiger at the gift shop, and, clutching it that night, you had dreamt happily of the day when you would finally bury your hand in that real mane, feel the bristle of whiskers, because surely that day would come. It had to come. Tigers had prowled your dreams, and even now, when you think of your father, you think of that long-ago tiger and how sure you‘d been that one day you‘d have that raw feline power under your palm.

 You flatten your hand, moving from just fingertips to laying the whole length of your hand against his face.

Loki does not feel like your dream of a tiger.

Loki feels like your nightmares of snakes.

His skin is clammy and hot and coated with a patina of dirt so it feels grainy, scaled, under your fingers. The sense of barely contained energy, that continual muscled motion that had looked so unpleasant in the python is right there, in the working of his jaw and the unbearable straining movement of his head. When you touch him your first instinct is revulsion at the way he feels, as if you’ve put your hand into a nest of hidden horrors. The memory of the acrid scent of the snakehouse fills your mind and your nose, a smell you’d thought long-forgotten.  

But something stops you from pulling your hand away, and that something is the fact that only this morning, when you’d pulled out of sleep Loki had once again been lying at your side, breathing harshly, shuddering and registering on even your half-awake senses as wounded, exhausted, broken.

You are asked sometimes if you treat the enemy. Like it’s even a consideration, when your unit is sent out, like you get to choose. Sure, to a certain point of view it seems oxymoronic. At your side in the field, your fellow agents are shooting down the foe, but once they’re down, if they’re alive, you’re there. And you’ll do your best to save them.

Whenever you’re asked this question, you tend to tailor your answer to your audience. There are some people who are never going to be impressed to hear that you treat the bad guy no differently than the good guy, once he’s down and leaking his guts out on the floor. Triage is for everyone. Whoever’s dying first gets treated first. And yes, if asked, you’ll give accounts of times you’ve been attacked and abused by the dying enemy you’re trying your best to save. Some people’s principles are greater and stronger than the value they place on their lives. Fanaticism in particular is so strong you could use it to build a wall around the world.

You’ve treated fanatics. Possession by principle. Their bodies puppeteered by words, thoughts and empty promises. They’re the ones that have stayed with you. Because sometimes - and yes, it’s been more than once - you’ve seen them at the very end. When the possession of principle finally cedes to the fears of the body, and you see in their eyes the doubt, then the dawning knowledge that this is wrong, wrong after all -

And then they die.

Possession is a terrible thing, and you can end up dying from it.

And this is why your hand stays put on Loki’s face, and no matter how much he snaps and snarls and throws his body about in the restraints, you stay. Because he’s alive and he’s not in control, and as your patient the only ethical thing to do is take that control for him. Treat him. Bring him back from the void that’s calling to him.

Or at very least, to make your voice call louder.

Your name doesn’t do it.

Your touch doesn’t do it.

Loki is a beast, a creature of madness, a thing driven by some terrible greater purpose without form. You speak to him, your hand upon him, feeling the terrible heat boiling off him through your skin.

Your voice doesn’t do it. He struggles there in his restraints, bound up tight, limbs held back in an unnatural spasm. It must be so uncomfortable.  

And suddenly, with a lurch of vertigo in your stomach, the memory of a memory of the dream -

- the keeper had taken the lemon python from its glass tank and the coils had poured in a relaxed, sick tangle out over her hands like spilt intestines -

- you know what you need to do.

“Banner,” you croak, as Loki spits and writhes in his bonds. “I need him - I need the ties slackened. I need him to be able to lie down.”

 Now it’s their turn to be hesitant. They don’t want to do it. They have your sympathy, because you don’t really want to do it either. But as soon as the understanding had dawned, you’d felt rested and relieved for the first time in weeks, as if your body itself knew what was needed. There is absolutely nothing else to be done, and so the cell is full of people once more, trying to make this whole incredibly unsafe situation as safe as possible.

Bruce Banner now seems to have that furrow of worry engraved permanently between his eyes: you’re honestly humbled by his depth of caring for someone he barely knows beyond a name. He even comes the closest to you (and you haven’t moved from Loki, not an inch, even though he is growling constantly now, a rumble of furious sound, eyes darting violently at each agent in turn) and crouches down.

“Are you - are you sure?” he asks, for the third time.

You want to say something cliché. Throw a little bravado in. Like “Sure I’m sure.” or “I’ve never been less sure of anything in my life, but I’m doing it anyway.” But you’re honestly just so fucking tired and the instinct that drove you to give the order feels like the promise of rest. So you just nod. Again. And Bruce closes his eyes briefly, as if in pain.

“Okay,” he says. You only realise then that they’ve been waiting on him, that he’s the one in charge right now, when he gives the nod, and an agent in full riot gear - where the hell is your riot gear? - hands you a switch-release. “You press that, he gets enough slack to lie full on the floor if he wants to. That’s also enough slack for him to tear your throat out. Just so you know.”

Oh, you know.

“Press it again, they’ll tighten up, he’ll be less able to move. Not completely unable. Just…less.”

Bruce stands up. You realise that the room has emptied around you. You and he, and the snarling creature, are the only ones here.

“I’d suggest you press it twice in very quick succession,” he says, and then leaves quickly, as if it hurts too much to look at you anymore.

The door has scarcely closed behind him when you press the button. You’ve never been one for putting off inevitable danger. Procrastination in war loses lives. Needless tension costs you calm. Lost calm costs you ability. Your thumb presses down firmly, in a deliberate motion that anyone who isn’t you might mistake for balls of steel.

The world contracts. You breathe in. You breathe out. The room seems obscenely quiet and still for the length of that one breath.

Loki lurches forward, carried by the momentum of his own struggling to tear you apart, and sprawls full length on the floor. He’s still hogtied close enough to save you from being instantly attacked, and even without being able to see him you can almost feel the will of Bruce Banner, desperate for you to press down again on the button, make yourself safe.

But you don’t. It’s only clear to you now that you never intended to, that this was never your body’s plan. Instead, you carefully lower yourself down next to Loki’s thrashing, snakish form, and gradually get lower until you are lying on your side, facing him, your faces less than a couple of feet apart. His expression is awful, virulent, quite mad. At this distance you can see the flush of every broken blood vessel in his eyes.

And then, just as deliberately, you turn your back to him, rolling onto your other side. And gracelessly, shuffling on the unforgiving floor, you manoeuvre yourself backwards, ignoring the terrible snarling, ignoring everything except the tiny voice of that instinct inside you that is saying, against all sense, it’ll be ok, we can rest -

Contact.

Your back fetches up against Loki’s chest, the deep rumble of his growling humming through you, the shivering tenseness of his every muscle enough to make you vibrate right along with him.

In and out, the push of a half-ruined ribcage against your back.

You forget how to breathe in the same moment that Loki remembers. He draws breath in with a whooping, broken sound, as if he’s just come up from almost-drowning, and the noise is instantly recognisable. Dark hair spills over your shoulder, brushes your face, as his head falls forward in exhaustion.

This is your dream. This is where you have needed to be since Stark Tower.

[etceterabd]

Most In-Demand Programming Languages

You don’t want to waste your time. If you’re going to put aside the time and energy needed to learn new programming languages, you want to make sure, without a doubt, that the ones you choose are the most in-demand programming languages on the market. 

After all, if you’re trying to start (or advance) a career in software development, you’ll need to be at the front of the metaphorical class. You’ll need to know which programming languages are popular, which are useful and which are up-and-coming on the market — and then set yourself up to learn them. 

Not sure where to start? Don’t worry; we’ve already done the heavy lifting for you, and looked through developer and market data from the past several years to identify trends and draw conclusions that will help you plan for your programming education. In this article, we’ll walk you through the 11 most in-demand programming languages and give you a few pointers on how to learn them. 

But before we get started, let’s recap how we built this list in the first place. When we sat down to figure out what the most in-demand programming languages might be, we had two primary research questions:

Which languages are in demand right now? 

Which ones are growing in popularity and will be in demand soon?

You can probably guess the rationale behind our first question. While following trends isn’t always the best way to figure out which languages to prioritize, a language’s popularity can indicate its prominence in the market. Here’s a general rule of thumb for you — the more used or common a language is, the more likely it is that a developer (i.e., you!) will need to deal with it at work.

Next, we considered which skills are poised to become the most sought-after programming languages on the market. To do so, we dug into Stack Overflow’s developer surveys from the last two years and focused on: 

The languages that developers report they use and want to continue using 

The languages that developers aren’t using yet, but are interested in using

By looking at these trends, we aimed to gain a better understanding of which languages will become popular in the years ahead. 

We found that Rust, Python and Typescript all topped Stack Overflow’s list for the most-loved languages in 2019 and 2020, with only slight shuffling across years. Similarly, Python, JavaScript and Go ruled the top three of Stack’s Most Wanted lists for both years. Given their prevalence in developers’ minds, the odds of these five languages increasing in popularity is high — and are therefore worth including on our list. 

However, where we ranked each language depended on other factors. For example, because Python has consistently held a top-five spot on Stack Overflow’s most commonly-used, -loved and -wanted lists, we chose to rank it higher than Rust, which, while ranking #1 on Stack’s most-loved list, languishes at #19 on the organization’s common-languages list.  

Now that we’ve covered our process, let’s start answering the question at hand: What are the most in-demand coding languages?

Do you want to take your coding skills to the next level? With Berkeley Coding Boot Camp, you will build a strong foundation in some of the most popular programming languages.

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The Most In-Demand Programming Languages

1. JavaScript

What this language is used for: 

Web development

Game development

Mobile apps 

Building web servers

According to Stack Overflow’s 2020 Developer Survey, JavaScript currently stands as the most commonly-used language in the world (69.7%), followed by HTML/CSS (62.4%), SQL (56.9%), Python (41.6%) and Java (38.4%). It is also the most sought-out programming language by hiring managers in the Americas (PDF, 2.4 MB). 

JavaScript is used to manage the behavior of web pages. With it, coders can create dynamic web elements such as animated graphics, interactive maps, clickable buttons and more. Programmers who use HTML, CSS and JavaScript in tandem obtain a higher level of website control and can provide a better user experience in terms of navigation and readability. 

JavaScript is the most common coding language in use today around the world. This is for a good reason: most web browsers utilize it and it’s one of the easiest languages to learn. JavaScript requires almost no prior coding knowledge — once you start learning, you can practice and play with it immediately. 

Moreover, because the language is so ubiquitous, there are countless communities, courses and avenues of professional support available online. This support, in addition to the language’s top-notch usability, makes JavaScript number one on our list of the most in-demand programming languages. 

Additional Resources:

Coding Resources: Learn JavaScript — Berkeley Boot Camps

Learn JavaScript — edX

JavaScript and JQuery: Interactive Front End Web Development — Jon Duckett

Learn JavaScript By Building Seven Games — freecodecamp

2. Python

What this language is used for:

Back end development 

Data science 

App development

Python is a general-purpose programming language that empowers developers to use several different programming styles (i.e., functional, object-oriented, reflective, etc.) when creating programs. Several popular digital tools and platforms were developed with Python, including YouTube, Google Search and iRobot machines. It is also, according to HackerRank, the second-most in-demand programming language for hiring managers in the Americas after Python (PDF, 2.4 MB).

As one of the more easy-to-learn and -use languages, Python is ideal for beginners and experienced coders alike. The language comes with an extensive library that supports common commands and tasks. Its interactive qualities allow programmers to test code as they go, reducing the amount of time wasted on creating and testing long sections of code.  

That said, even advanced users would benefit from adding Python to their mental catalog of programming languages; with over 50% of hiring managers (PDF, 2.4MB) seeking candidates who know the language, Python is easily one of the most marketable and in-demand programming languages. 

Additional Resources:

Coding Resources: Learn Python — Berkeley Boot Camps

Learn Python — edX

The Quick Python Book — Naomi Ceder

The Real Python Podcast — Real Python 

3. HTML

What this language is used for: 

Web documents 

Website development 

Website maintenance

HTML stands for HyperText Markup Language. Don’t let the complicated-sounding name fool you, though; HTML is one of the most accessible stepping stones into the world of programming. 

Technically, HTML is a markup language, which means that it is responsible for formatting the appearance of information on a website. Essentially, HTML is used to describe web pages with ordinary text. It doesn’t have the same functionality as other programming languages in this list and is limited to creating and structuring text on a site. Sections, headings, links and paragraphs are all part of the HTML domain. 

As of 2020, HTML shares its #2 spot on Stack Overflow’s list of the most commonly used languages in the world with CSS. 

Additional Resources:

Coding Resources: Learn HTML — Berkeley Boot Camps 

Learn HTML — edX

HTML and CSS: Design and Build Websites — Jon Duckett

Intro to HTML/CSS: Making Webpages — Khan Academy

4. CSS

What this language is used for: 

Web documents 

Website development 

Website design

CSS, or cascading style sheets, is usually applied in conjunction with HTML and governs the site’s appearance. While HTML organizes site text into chunks, CSS is responsible for determining the size, color and position of all page elements.  

CSS is convenient, too; the cascading part of the name means that an applied style will cascade down from parent elements to all children elements across the site. This feature means that once users determine aesthetics for the main parent, they won’t have to manually repeat their code across a website. Moreover, the delegation of site organization to HTML and aesthetics to CSS means that users don’t have to completely rewrite a web page just to change a color. 

CSS is an approachable language that allows beginning programmers to dip their toes in the metaphorical coding pool. If you’re new to coding, there’s no reason not to learn CSS before tackling more complex languages!

Additional Resources:

Coding Resources: Learn CSS  — Berkeley Boot Camps 

Learn CSS — edX

HTML and CSS: Design and Build Websites — Jon Duckett 

Intro to HTML/CSS: Making Webpages — Khan Academy

CSS Basics — Khan Academy

5. Java

What this language is used for: 

E-commerce 

Finance

App development

Java is a general use and object-oriented programming language. In object-oriented programming, developers create objects that encompass functions and data, which can then be used to provide structure for programs and applications. 

Java currently ranks as the third-most sought-after programming language for hiring managers globally (PDF, 2.4 MB) and has held the #5 spot on Stack Overflow’s list of the most commonly used languages for two years. 

Java’s popularity is for good reason; this language is relatively easy to learn and use, boasts incredible security and can handle massive amounts of data. These features make Java an ideal language for the online finance sector, and it is often applied in industries such as banking, billing and the stock market. 

The versatility of the language, however, is what learners find really appealing. Touted as a “write-once, run-anywhere” language, Java can effectively run on any operating system, regardless of which OS was used to write the original code. It is thus ideal for writing apps not only for mobile phones and computers, but also remote processors, sensors and a variety of other consumer products. 

Additional Resources:

Learn Java — edX

Learn Java — Codecademy 

Real-World Java Exercises — CodeGym 

Java: A Beginner’s Guide — Herbert Schildt

6. SQL

What this language is used for: 

Database management 

Sales reports 

Business management

SQL, or Structured Query Language, is a language that allows programmers to query and manipulate databases. As a domain-specific language, it is designed mainly for managing data within an RDBMS (relational database management system). Put simply, SQL can locate and retrieve data from a database, as well as update, add or remove records. 

While SQL is highly functional, it tends to work better with small databases and doesn’t always lend itself to managing expansive ones. 

That said, SQL still ranks as the third-most-used language in the programming industry, with over half (54.7%) of surveyed developers reporting that they use it. 

Additional Resources:

Coding Resources: Learn SQL — Berkeley Boot Camps 

Learn SQL — edX

NoSQL Databases Explained — IBM Cloud

SQL & NoSQL Databases: Models, Languages, Consistency Options and Architectures for Big Data Management — Andreas Meier and Michael Kaufmann 

7. NoSQL

What this language is used for: 

Database management 

Sales reports 

Business management

NoSQL, or Non-relational SQL, was created to improve SQL’s scalability while retaining the other language’s ease of use. 

Remember, SQL utilizes relational database/stream management systems that keep data in tables and allows users to manipulate and extract data. NoSQL databases, on the other hand, don’t use tables and can be more useful than their predecessors for specific applications, such as storing data in a hierarchical network or supporting large-scale, cloud-based applications. 

Because these languages are both so versatile, they rank high on our list of the most in-demand coding languages. 

Additional Resources:

Learn NoSQL — edX

Hands-On NoSQL: A Practical Guide to Design and Implementation with Technical Case Studies — Arsames Qajar and Dan Sullivan

NoSQL Databases Explained — IBM Cloud

SQL & NoSQL Databases: Models, Languages, Consistency Options and Architectures for Big Data Management — Andreas Meier and Michael Kaufmann 

8. C#

What this language is used for: 

Game development

Desktop/web/mobile apps 

VR

Also stylized as C Sharp, this language belongs to the object-oriented family of programming languages. C# was released in 2002 by Microsoft and stands today as a much-loved improvement on the C++ coding language. 

As a general-purpose language, C# is growing in popularity for developing web and desktop applications; according to HackerRank, roughly one of every five hiring managers (PDF, 2.4 MB) is looking for a developer that can code with C#. There’s no denying that it is one of the most in-demand coding languages for the upcoming year; however, there are other reasons to have this skill on your radar.

As with other popular languages, an enormous community works with C# and offers support to new learners. Because of this, learning C# may be easier than attempting to learn some of the newer and less-documented languages. Plus, C# is ideal for building ever-more-popular mobile apps and games. There’s little doubt that this language will continue to be useful in the coming years. 

Additional Resources:

Learn C# — edX

Learn C# — Microsoft

C# Tutorial — freecodecamp

Modern Cross-Platform Development: Build Applications With C# — Mark J. Price

9. Rust 

What this language is used for:

Operating systems 

VR 

Web browsers

According to Stack Overflow, Rust has consistently ranked at the top of the most-loved programming languages, with 86% of users claiming that they were interested in continuing to develop with it. 

However, Rust users only accounted for 3% of developers in the survey, which indicates that the vast majority of programmers are unfamiliar with its usefulness. Rust is a “multi-paradigm” programming language, which means that it allows developers to work in a variety of programming styles. In syntax, it is comparable to C++, though it supports more wide-ranging applications. 

If you’re looking for faster compilation, better cross-platform capabilities or just better career prospects, Rust is a great language to pick up. 

10. Perl

What this language is used for:

System administration 

GUI development 

Network programming

Perl isn’t the most commonly used language on the market. In fact, just 3.1 percent of developers used it in 2020, and it didn’t even make Stack Overflow’s commonly used languages list for 2019. However, we are recommending it for a reason. If you’re already well into your career, learning Perl could significantly boost your earnings potential. 

According to HackerRank, developers who know Perl tend to make 54 percent more than the average developer (PDF, 2.4MB). That said, it is worth noting that most of the people who know these are senior developers, who tend to make more at a baseline — thus, attempting to quantify the “bonus” that a programming language provides may be somewhat tricky. That said, learning a language like Perl may still make a junior developer better suited for a promotion or raise. 

The Practical Extraction and Report Language — or Perl, for short — is a scripting language that is commonly used to extract information from a text file and create a report. 

While many programming languages are compiled languages — wherein a target machine translates the program — Perl is an interpreted language, wherein a third “interpreting” machine locates the code and executes a task. Usually, interpreted programs require more CPU, but because Perl is such a concise language, it creates short scripts that can be processed quickly. 

Additional Resources:

Learn Perl — Perl 

Perl Tutorial — Derek Banas 

Learning Perl — Randal L. Schwartz and Tom Phoenix

11. Go

What this language is used for:

System/network programming 

Audio/video editing 

Big Data

Developed at Google in 2007, Go is a top-tier programming language. What makes Go really shine is its efficiency; it is capable of executing several processes concurrently. And as far as programming languages go, it has an extensive “vocabulary,” meaning it can display more information than other languages. 

Though it uses a similar syntax to C, Go is a standout language that provides top-notch memory safety and management features. Additionally, the language’s structural typing capabilities allow for a great deal of functionality and dynamism. Moreover, Go is not only high up on programmers’ most-loved and most-wanted lists — it also correlates to a 33% salary bump (PDF, 2.4 MB).

Additional Resources:

Learn Go — freecodecamp

Go Annotated Tutorials — Go By Example

Introducing Go — Caleb Doxsey 

Final Thoughts

Whether you are an established coder or just starting to look into the industry, learning a new language is one of the best ways to advance your programming career. But how can you start your educational journey? 

Your first step depends on you, your schedule and the resources you have at hand.   

A college program, for example, will provide you with a comprehensive education in the theory and practice of programming — however, the typical undergraduate program also demands four years of full-time study and tens of thousands of dollars in tuition funding. 

If you want a faster and less expensive educational experience that focuses on skills-based learning, you may want to consider a coding boot camp. Coding boot camps equip you with the hands-on skills and language proficiencies you’ll need to land an entry-level job in the field — all within three to six months. 

If you’re looking for the cheapest educational course and don’t mind taking on the responsibility of self-teaching, you may want to consider learning necessary coding skills via tutorials, books and online courses. Keep in mind that while this route offers tremendous flexibility and opportunity for low-cost learning, it may not be a fit for students who need external motivation. If you know that you’ll have trouble keeping yourself accountable, try one of the other options mentioned above!

No matter which route you ultimately choose, one point is for certain: there’s no better time to pick up a new skill and kickstart your coding career. 

We hope that this list of the most in-demand programming languages will help you begin your journey!