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#nlp libraries#natural language processing libraries#python libraries#nodejs nlp libraries#python and libraries#javascript nlp libraries#best nlp libraries for nodejs#nlp libraries for java script#best nlp libraries for javascript#nlp libraries for nodejs and javascript#nltk library#python library#pattern library#python best gui library#python library re#python library requests#python library list#python library pandas#python best plotting library
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hiii cool drawing person!! I uh saw that you kind of do requests? So I was wondering if I could request a little doodle of Yesod hugging Netzach.. I feel like Netzach goes through so much hell that he'd need that, and Yesod would like to give affection to someone considering his uh. . . prior need to delete a bunch of information and pretend that no one who died existed you know ? Plus snake.. haha good at squeezing. and he's chest height, how stupid <3 thank you so much for making so many people's days with your art and your thoughts oh my god your thoughts. i love how you dissect these little freaks 🥺



hi neat anonymous sender!! thank you so much for your words!!! im so glad that i can bring some sort of joy and happiness even if it is small. and that my thoughts and writings are well received still. i am still in a bit of a shock that people like and read them even with the passing time. . . i hope youre okay with these doodles! thank you for sending this in
#library of ruina#netzach#netzach lor#yesod#yesod lor#intimacy. i suppose romantic? what ever is wanted. regardless of what the affection could be categorized as its still affection#mister viper. looked briefly into it so i dont know the particulars but it seems that venomous snakes dont really curl around their prey#considering the toxins would immobilize with out a need to go ahead and hold them down. not to say that they Dont curl but constriction is#more typically thought of as pythons or boas. mister boa. hehehe.#netz is typically just happy to be in the presence of or around those he likes. see carmen for example. so physical grounded touch to affirm#the fact of proximity and. i guess realness? would be nice i think. ability to wait and still stay by the side i guess. he has a thing with#expecting or thinking things to leave. not as much anymore and being more brave or fearless inspite of that preconceived notion but still#i cant quite articulate it the way i want it but its the general idea resigned acceptance now turning to budding change yet still there#which is why it can be scary. or had seemed pointless to go ahead and fight against an inevitable. so just a kind of physical reassurance#and patience and staying is nice. for yesod its to where i wanted him to typically be drawn w his arms on the outside isntead of boxed in?#a thing w restriction. if youre hugged and your arms are on the inside you lose that mobility and ability to move. feels like it would be a#comfort thing to just be able to have the arms in a position that can move even if logically it is alright and a safe environment#i wanted netzs hold to be there and present still but kind of lazy? dual nature of have it more limp or lax bc its netz but also bc it would#have it to where it wouldnt be confining. but still embracing. sort of thing#also w the sheets. based a little off my own experiences? remind of it. when overstimulated or just in HELL mentally sheets and blankets#feel like they tangle and bind and serve to distress than anything positive. so yk. duality of man. weighted blanket to be encased in a#cacoon or no sheets at all to be free and able to move. but yeah. main idea. also then realized that id have to draw more bc of that#[cent miscellaneous]#there was more but they were Too Sketchy... tis okay. suprised i was able to get anything done rn in the first place even if small#... i never thought abt it i guess these are kinda requests. i mean thats chill and fun but like. huh
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how it feels to write...
valdangelo: i'm in my friend's gaming room, and they just pulled out a huge box of snacks i'm not allowed to have at home. super smash bros is cued up on the wii. it's 2013, and nothing bad has happened yet.
jercy: i'm sitting in a field at my old high school, the air cool and refreshing as i crack open a new queer romance i requested the library to order. some people are playing football in the distance, though i couldn't tell you who's winning or what's going on. it's a spirit week day, and i'm allowed to wear a hat.
lukercy: i'm in the club when i shouldn't be. i have plans the next day, though maybe i should forget about them. there's someone speaking to me, their voice warm and low. i don't know their name and don't care to know. i can only look at their lips.
valgrace: i'm with an old boyfriend in his shoebox apartment, talking for hours until we realize it's way past the time i should be home. it doesn't matter. his bed is warm and time stands still as i am, for a fleeting moment, understood.
lukethan: i am crawling through a haunted maze that the church put together, my heart pounding. i'm not sure why i'm so scared; my parents said everything would be okay. the money is for a good cause. it's dark, and i can only hear my own shallow breathing. a warm hand latches out like a python, grasping my ankle.
jasico: i'm weaving through the trees at girl scout camp. after the third time walking through the poison ivy fields, i have no rash; perhaps i am immune, perhaps i am a superhero. there is a large cement box in the center of a field, some sort of industrial project i do not yet understand. inside there is a deep, empty blackness. it calls out to me. i should jump in.
lukabeth: i am at a party at my friend's house, playing a game one of them found online. hands wrap around my throat, pressing me to the bedroom door. i black out, dreaming in shades of yellow. in the dream, i'm yelling at my sister, crying to her. i am ignored. i wake up, gripping the carpet with sweaty hands. a strange man comforts me, telling me i shouldn't have played such a stupid game. his breath smells of alcohol. there are no sober adults in the house.
x readers: i am in an auditorium, putting on a play like i used to as a kid. much like the stress dreams, i have over forty lines and didn't crack open the script. i manage, and i look out, and i wait. the lights don't blind me this time. i can see everyone in the audience. they wear masks and clap politely. the sound is muffled, fading into silence like tv static. their eyes are expectant once more.
#idk what this is but the mutuals will get it i trust#i would actually love to hear how other writers feel writing their ships if they think like this#valdangelo#jercy#lukercy#valgrace#lukethan#jasico#lukebeth#pjo#wow these tags feel annoying. anyways#tw alcohol
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Hello tumblr! This is @ipso-faculty and I'm creating a dedicated tumblr for the flags and coinings I'm creating. This is a side-tumblr of mine and hence I'll follow back as @ipso-faculty.
I am also on Wikimedia Commons and the Fediverse.
I am intergender, demigender, intersex, disabled (POTS, long covid, AuDHD), bi/pan, ambiamorous, as well as a white settler. I mostly make intersex and disability oriented flags.
General notes - All flags I make are public domain unless noted otherwise. This means you can share and remix as you desire. No credit is needed, no permission needs to be asked. Have fun!
Design philosophy - My primary goal is to make flags that are comprehensible. I see flags as a form of communication and I like it when flags have patterns in their meanings and designs.
How to request a flag - How it works: you send me a request, I send you some prototypes, you let me know what you like or what to change, and once you're satisfied I'll post it. I'll only mention your username if I have your explicit permission to do so. - In order for me to send you prototypes, I need to be able to DM you. For my own cognitive needs, I need to be able to see a *threaded conversation*. The problem with Tumblr's ask system is if I answer your ask privately, I cannot see what I wrote. So if you reply back with "I liked flag #2" I actually don't know which flag you liked!!! - I am no longer accepting requests from users who will not let me DM them. The lack of threaded conversation via Asks is cognitively inaccessible to me. - Please only ask for flags of identities that you have (or have a legit connection to the relevant community). I want to be able to consult with you on prototypes and know that the designs I'm making are appropriate for the relevant identity group. - When asking for a flag it's helpful if you let me know if there are existing designs, symbols, or the like you'd like me aware of or to get incorporated <3 ***
Flag resources (I'll be adding links to this that I find useful, so if reblogging check the original url for the latest version) Colours - OKLCH colour picker & converter - why it's worth learning oklch - introduction to perceptual colour spaces like LCH - introduciton to what a colour space / gamut is - Wikipedia's list of flags by colour combination
Flag layouts - Wikipedia's glossary of vexillology - Wikipedia's list of flags by aspect ratio
SVG drawing - introduction to SVG - Scaling SVG with CSS - MDN documentation on SVG transform - Bézier curve tutorial - Python drawsvg documentation - Python drawsvg library
Tumblr - How to back up your tumblr
Resources/guides I've written - Different ways to style infinity symbols (and why it matters)
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Any good python modules I can learn now that I'm familiar with the basics?
Hiya 💗
Yep, here's a bunch you can import them into your program to play around with!
math: Provides mathematical functions and constants.
random: Enables generation of random numbers, choices, and shuffling.
datetime: Offers classes for working with dates and times.
os: Allows interaction with the operating system, such as file and directory manipulation.
sys: Provides access to system-specific parameters and functions.
json: Enables working with JSON (JavaScript Object Notation) data.
csv: Simplifies reading and writing CSV (Comma-Separated Values) files.
re: Provides regular expression matching operations.
requests: Allows making HTTP requests to interact with web servers.
matplotlib: A popular plotting library for creating visualizations.
numpy: Enables numerical computations and working with arrays.
pandas: Provides data structures and analysis tools for data manipulation.
turtle: Allows creating graphics and simple games using turtle graphics.
time: Offers functions for time-related operations.
argparse: Simplifies creating command-line interfaces with argument parsing.
How to actually import to your program?
Just in case you don't know, or those reading who don't know:
Use the 'import' keyword, preferably at the top of the page, and the name of the module you want to import. OPTIONAL: you could add 'as [shortname you want to name it in your program]' at the end to use the shortname instead of the whole module name
Hope this helps, good luck with your Python programming! 🙌🏾
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What is Python, How to Learn Python?
What is Python?
Python is a high-level, interpreted programming language known for its simplicity and readability. It is widely used in various fields like: ✅ Web Development (Django, Flask) ✅ Data Science & Machine Learning (Pandas, NumPy, TensorFlow) ✅ Automation & Scripting (Web scraping, File automation) ✅ Game Development (Pygame) ✅ Cybersecurity & Ethical Hacking ✅ Embedded Systems & IoT (MicroPython)
Python is beginner-friendly because of its easy-to-read syntax, large community, and vast library support.
How Long Does It Take to Learn Python?
The time required to learn Python depends on your goals and background. Here’s a general breakdown:
1. Basics of Python (1-2 months)
If you spend 1-2 hours daily, you can master:
Variables, Data Types, Operators
Loops & Conditionals
Functions & Modules
Lists, Tuples, Dictionaries
File Handling
Basic Object-Oriented Programming (OOP)
2. Intermediate Level (2-4 months)
Once comfortable with basics, focus on:
Advanced OOP concepts
Exception Handling
Working with APIs & Web Scraping
Database handling (SQL, SQLite)
Python Libraries (Requests, Pandas, NumPy)
Small real-world projects
3. Advanced Python & Specialization (6+ months)
If you want to go pro, specialize in:
Data Science & Machine Learning (Matplotlib, Scikit-Learn, TensorFlow)
Web Development (Django, Flask)
Automation & Scripting
Cybersecurity & Ethical Hacking
Learning Plan Based on Your Goal
📌 Casual Learning – 3-6 months (for automation, scripting, or general knowledge) 📌 Professional Development – 6-12 months (for jobs in software, data science, etc.) 📌 Deep Mastery – 1-2 years (for AI, ML, complex projects, research)
Scope @ NareshIT:
At NareshIT’s Python application Development program you will be able to get the extensive hands-on training in front-end, middleware, and back-end technology.
It skilled you along with phase-end and capstone projects based on real business scenarios.
Here you learn the concepts from leading industry experts with content structured to ensure industrial relevance.
An end-to-end application with exciting features
Earn an industry-recognized course completion certificate.
For more details:
#classroom#python#education#learning#teaching#institute#marketing#study motivation#studying#onlinetraining
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#Playstation7 Security backend FireWall Dynamic Encryption, NFT integration CG’s and Online Store, Game download, installation and run processes.

Creating a comprehensive backend system for a console that integrates security, encryption, store functionality, NFT integration, and blockchain encoding is an extensive task, but here’s a detailed outline and code implementation for these components:

1. Security and Firewall System with Dynamic Encryption
The security system will need robust firewalls and periodic encryption mechanisms that update dynamically every 5 minutes and every 30th of a second.
1.1 Encryption Structure (Python-based) with Time-Based Swapping
We’ll use the cryptography library in Python for encryption, and random for generating random encryption keys, which will change periodically.
Encryption Swapping Code:
import os
import time
import random
from cryptography.fernet import Fernet
class SecuritySystem:
def __init__(self):
self.current_key = self.generate_key()
self.cipher_suite = Fernet(self.current_key)
def generate_key(self):
return Fernet.generate_key()
def update_key(self):
self.current_key = self.generate_key()
self.cipher_suite = Fernet(self.current_key)
print(f"Encryption key updated: {self.current_key}")
def encrypt_data(self, data):
encrypted = self.cipher_suite.encrypt(data.encode())
return encrypted
def decrypt_data(self, encrypted_data):
return self.cipher_suite.decrypt(encrypted_data).decode()
# Swapping encryption every 5 minutes and 30th of a second
def encryption_swapper(security_system):
while True:
security_system.update_key()
time.sleep(random.choice([5 * 60, 1 / 30])) # 5 minutes or 30th of a second
if __name__ == "__main__":
security = SecuritySystem()
# Simulate swapping
encryption_swapper(security)
1.2 Firewall Setup (Using UFW for Linux-based OS)
The console could utilize a basic firewall rule set using UFW (Uncomplicated Firewall) on Linux:
# Set up UFW firewall for the console backend
sudo ufw default deny incoming
sudo ufw default allow outgoing
# Allow only specific ports (e.g., for the store and NFT transactions)
sudo ufw allow 8080 # Store interface
sudo ufw allow 443 # HTTPS for secure transactions
sudo ufw enable
This basic rule ensures that no incoming traffic is accepted except for essential services like the store or NFT transfers.
2. Store Functionality: Download, Installation, and Game Demos
The store will handle downloads, installations, and demo launches. The backend will manage game storage, DLC handling, and digital wallet integration for NFTs.

2.1 Download System and Installation Process (Python)
This code handles the process of downloading a game, installing it, and launching a demo.
Store Backend (Python + MySQL for Game Listings):
import mysql.connector
import os
import requests
class GameStore:
def __init__(self):
self.db = self.connect_db()
def connect_db(self):
return mysql.connector.connect(
host="localhost",
user="admin",
password="password",
database="game_store"
)
def fetch_games(self):
cursor = self.db.cursor()
cursor.execute("SELECT * FROM games")
return cursor.fetchall()
def download_game(self, game_url, game_id):
print(f"Downloading game {game_id} from {game_url}...")
response = requests.get(game_url)
with open(f"downloads/{game_id}.zip", "wb") as file:
file.write(response.content)
print(f"Game {game_id} downloaded.")
def install_game(self, game_id):
print(f"Installing game {game_id}...")
os.system(f"unzip downloads/{game_id}.zip -d installed_games/{game_id}")
print(f"Game {game_id} installed.")
def launch_demo(self, game_id):
print(f"Launching demo for game {game_id}...")
os.system(f"installed_games/{game_id}/demo.exe")
# Example usage
store = GameStore()
games = store.fetch_games()
# Simulate downloading, installing, and launching a demo

store.download_game("http://game-download-url.com/game.zip", 1)
store.install_game(1)
store.launch_demo(1)
2.2 Subsections for Games, DLC, and NFTs
This section of the store manages where games, DLCs, and NFTs are stored.
class GameContentManager:
def __init__(self):
self.games_folder = "installed_games/"
self.dlc_folder = "dlcs/"
self.nft_folder = "nfts/"
def store_game(self, game_id):
os.makedirs(f"{self.games_folder}/{game_id}", exist_ok=True)
def store_dlc(self, game_id, dlc_id):
os.makedirs(f"{self.dlc_folder}/{game_id}/{dlc_id}", exist_ok=True)
def store_nft(self, nft_data, nft_id):
with open(f"{self.nft_folder}/{nft_id}.nft", "wb") as nft_file:
nft_file.write(nft_data)
# Example usage
manager = GameContentManager()
manager.store_game(1)
manager.store_dlc(1, "dlc_1")
manager.store_nft(b"NFT content", "nft_1")
3. NFT Integration and Blockchain Encoding
We’ll use blockchain to handle NFT transactions, storing them securely in a blockchain ledger.
3.1 NFT Blockchain Encoding (Python)
This script simulates a blockchain where each block stores an NFT.
import hashlib
import time
class Block:
def __init__(self, index, timestamp, data, previous_hash=''):
self.index = index
self.timestamp = timestamp
self.data = data
self.previous_hash = previous_hash
self.hash = self.calculate_hash()
def calculate_hash(self):
block_string = f"{self.index}{self.timestamp}{self.data}{self.previous_hash}"
return hashlib.sha256(block_string.encode()).hexdigest()
class Blockchain:
def __init__(self):
self.chain = [self.create_genesis_block()]
def create_genesis_block(self):
return Block(0, time.time(), "Genesis Block", "0")
def get_latest_block(self):
return self.chain[-1]
def add_block(self, new_data):
previous_block = self.get_latest_block()
new_block = Block(len(self.chain), time.time(), new_data, previous_block.hash)
self.chain.append(new_block)
def print_blockchain(self):
for block in self.chain:
print(f"Block {block.index} - Data: {block.data} - Hash: {block.hash}")
# Adding NFTs to the blockchain
nft_blockchain = Blockchain()
nft_blockchain.add_block("NFT1: Digital Sword")
nft_blockchain.add_block("NFT2: Magic Shield")
nft_blockchain.print_blockchain()
3.2 NFT Wallet Transfer Integration (Python)
This script will transfer NFTs into wallets or digital blockchain systems.
class NFTWallet:
def __init__(self):
self.wallet = {}
def add_nft(self, nft_id, nft_data):
self.wallet[nft_id] = nft_data
print(f"Added NFT {nft_id} to wallet.")
def transfer_nft(self, nft_id, recipient_wallet):
if nft_id in self.wallet:
recipient_wallet.add_nft(nft_id, self.wallet[nft_id])
del self.wallet[nft_id]
print(f"Transferred NFT {nft_id} to recipient.")
# Example usage
user_wallet = NFTWallet()
user_wallet.add_nft("nft_1", "Digital Art Piece 1")
recipient_wallet = NFTWallet()
user_wallet.transfer_nft("nft_1", recipient_wallet)
4. CG (Computer Graphics) Storage for Cutscenes and Artwork
4.1 Storing and Retrieving CG Assets
This system stores CG assets (cutscenes, artwork, etc.) for later viewing and reminiscing.
class CGStorage:
def __init__(self):
self.cg_folder = "cg_assets/"
os.makedirs(self.cg_folder, exist_ok=True)
def store_cg(self, cg_id, cg_data):
with open(f"{self.cg_folder}/{cg_id}.mp4", "wb") as cg_file:
cg_file.write(cg_data)
print(f"CG {cg_id} stored.")
def retrieve_cg(self, cg_id):
with open(f"{self.cg_folder}/{cg_id}.mp4", "rb") as cg_file:
return cg_file.read()
# Example usage
cg_storage = CGStorage()
cg_storage.store_cg("cutscene_1", b"CG video data")
cg_data = cg_storage.retrieve_cg("cutscene_1")
Summary of the System:

1. Security: Dynamic encryption swaps with regular firewall management.
2. Store: Handles game downloads, installations, and demo launches, including storage for games, DLC, and NFTs.
3. NFT Integration: A blockchain-based system for NFT encoding and wallet transfers.
4. CG Storage: Storing and retrieving game cutscenes and artwork for later viewing.
This framework is scalable and can be extended as the console ecosystem grows. Each component works independently but can be integrated into a larger gaming console backend system.





#playstation7#ps7#deardearestbrands#digitalconsole#framework#python#soundcloud#celestiallink#raw code#rawscript#blockchain#NFTs#Security#Frontend#backend#encryption processes
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Why Should You Do Web Scraping for python

Web scraping is a valuable skill for Python developers, offering numerous benefits and applications. Here’s why you should consider learning and using web scraping with Python:
1. Automate Data Collection
Web scraping allows you to automate the tedious task of manually collecting data from websites. This can save significant time and effort when dealing with large amounts of data.
2. Gain Access to Real-World Data
Most real-world data exists on websites, often in formats that are not readily available for analysis (e.g., displayed in tables or charts). Web scraping helps extract this data for use in projects like:
Data analysis
Machine learning models
Business intelligence
3. Competitive Edge in Business
Businesses often need to gather insights about:
Competitor pricing
Market trends
Customer reviews Web scraping can help automate these tasks, providing timely and actionable insights.
4. Versatility and Scalability
Python’s ecosystem offers a range of tools and libraries that make web scraping highly adaptable:
BeautifulSoup: For simple HTML parsing.
Scrapy: For building scalable scraping solutions.
Selenium: For handling dynamic, JavaScript-rendered content. This versatility allows you to scrape a wide variety of websites, from static pages to complex web applications.
5. Academic and Research Applications
Researchers can use web scraping to gather datasets from online sources, such as:
Social media platforms
News websites
Scientific publications
This facilitates research in areas like sentiment analysis, trend tracking, and bibliometric studies.
6. Enhance Your Python Skills
Learning web scraping deepens your understanding of Python and related concepts:
HTML and web structures
Data cleaning and processing
API integration
Error handling and debugging
These skills are transferable to other domains, such as data engineering and backend development.
7. Open Opportunities in Data Science
Many data science and machine learning projects require datasets that are not readily available in public repositories. Web scraping empowers you to create custom datasets tailored to specific problems.
8. Real-World Problem Solving
Web scraping enables you to solve real-world problems, such as:
Aggregating product prices for an e-commerce platform.
Monitoring stock market data in real-time.
Collecting job postings to analyze industry demand.
9. Low Barrier to Entry
Python's libraries make web scraping relatively easy to learn. Even beginners can quickly build effective scrapers, making it an excellent entry point into programming or data science.
10. Cost-Effective Data Gathering
Instead of purchasing expensive data services, web scraping allows you to gather the exact data you need at little to no cost, apart from the time and computational resources.
11. Creative Use Cases
Web scraping supports creative projects like:
Building a news aggregator.
Monitoring trends on social media.
Creating a chatbot with up-to-date information.
Caution
While web scraping offers many benefits, it’s essential to use it ethically and responsibly:
Respect websites' terms of service and robots.txt.
Avoid overloading servers with excessive requests.
Ensure compliance with data privacy laws like GDPR or CCPA.
If you'd like guidance on getting started or exploring specific use cases, let me know!
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Unlock the Power of Python Programming: A Complete Guide
Python programming has become one of the most sought-after skills in the world of technology. Its simplicity, flexibility, and vast ecosystem of libraries make it a top choice for both beginners and experienced developers. In this guide, we will explore various aspects of Python programming, from basic concepts to advanced applications like machine learning and web development.
Python Programming: A Beginner-Friendly Language
Python programming is renowned for its readability and straightforward syntax, making it ideal for beginners. Whether you are just starting to code or transitioning from another language, Python offers a smooth learning curve. Key Python programming concepts include variables, data types, and control structures, which are essential for writing functional code.
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Python Data Structures: Organizing Data Efficiently
One of the core strengths of Python programming is its rich set of data structures. Lists, dictionaries, tuples, and sets help you store and manage data effectively. Understanding Python data structures allows you to create more efficient programs by organizing and manipulating data effortlessly.
Functions in Python Programming: Building Reusable Code
Functions are a fundamental part of Python programming. They allow you to break down complex problems into smaller, reusable chunks of code. Python functions not only promote code reusability but also make your programs more organized and easier to maintain.
Loops in Python Programming: Automating Repeated Tasks
Loops are an essential feature in Python programming, allowing you to perform repeated operations efficiently. With Python loops such as for and while, you can iterate over sequences or perform tasks until a specific condition is met. Mastering loops is a key part of becoming proficient in Python.
Object-Oriented Programming in Python: Structured Development
Python programming supports object-oriented programming (OOP), a paradigm that helps you build structured and scalable software. OOP in Python allows you to work with classes and objects, making it easier to model real-world scenarios and design complex systems in a manageable way.
Python Automation Scripts: Simplify Everyday Tasks
Python programming can be used to automate repetitive tasks, saving you time and effort. Python automation scripts can help with file management, web scraping, and even interacting with APIs. With Python libraries like os and shutil, automation becomes a breeze.
Python Web Development: Creating Dynamic Websites
Python programming is also a popular choice for web development. Frameworks like Django and Flask make it easy to build robust, scalable web applications. Whether you're developing a personal blog or an enterprise-level platform, Python web development empowers you to create dynamic and responsive websites.
APIs and Python Programming: Connecting Services
Python programming allows seamless integration with external services through APIs. Using libraries like requests, you can easily interact with third-party services, retrieve data, or send requests. This makes Python an excellent choice for building applications that rely on external data or services.

Error Handling in Python Programming: Writing Resilient Code
Python programming ensures that your code can handle unexpected issues using error handling mechanisms. With try-except blocks, you can manage errors gracefully and prevent your programs from crashing. Error handling is a critical aspect of writing robust and reliable Python code.
Python for Machine Learning: Leading the AI Revolution
Python programming plays a pivotal role in machine learning, thanks to powerful libraries like scikit-learn, TensorFlow, and PyTorch. With Python, you can build predictive models, analyze data, and develop intelligent systems. Machine learning with Python opens doors to exciting opportunities in artificial intelligence and data-driven decision-making.
Python Data Science: Turning Data Into Insights
Python programming is widely used in data science for tasks such as data analysis, visualization, and statistical modeling. Libraries like pandas, NumPy, and Matplotlib provide Python programmers with powerful tools to manipulate data and extract meaningful insights. Python data science skills are highly in demand across industries.
Python Libraries Overview: Tools for Every Task
One of the greatest advantages of Python programming is its extensive library support. Whether you're working on web development, automation, data science, or machine learning, Python has a library for almost every need. Exploring Python libraries like BeautifulSoup, NumPy, and Flask can significantly boost your productivity.
Python GUI Development: Building User Interfaces
Python programming isn't just limited to back-end or web development. With tools like Tkinter and PyQt, Python programmers can develop graphical user interfaces (GUIs) for desktop applications. Python GUI development allows you to create user-friendly software with visual elements like buttons, text fields, and images.
Conclusion: Python Programming for Every Developer
Python programming is a versatile and powerful language that can be applied in various domains, from web development and automation to machine learning and data science. Its simplicity, combined with its extensive libraries, makes it a must-learn language for developers at all levels. Whether you're new to programming or looking to advance your skills, Python offers endless possibilities.
At KR Network Cloud, we provide expert-led training to help you master Python programming and unlock your potential. Start your Python programming journey today and take the first step toward a successful career in tech!
#krnetworkcloud#python#language#programming#linux#exams#coding#software engineering#coding for beginners#careers#course#training#learning#education#technology#computing#tech news#business#security#futurism#Youtube
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TSR Downloader by Xientra
Writeup for non-computer people from a semi-computer person (me) Everything done using Windows bc I'm on Windows but it should all pretty much be analogous on a mac (I can't guarantee it but. yknow) Thanks to @cristalviper for putting me onto this this will make my quality of life much better Without further ado:
What you'll need:
- python (if you don't have python installed, you can get it here: https://www.python.org/downloads/) just download it and click the file the same way you always install things - the code from here: https://github.com/Xientraa/The-Sims-Resource-Downloader Easiest way to get it if you don't really know what's going on and it kinda scares you:
Click the green button that says Code and then Download ZIP.
Now put the downloaded zip file somewhere and unzip it.
Inside there's a file called config (or config.json, depending on your settings). You can open it with notepad.
inside it looks like this:
Pick a place where you'll want your downloaded files to go. I made a folder called tsr in my downloads. Copy the path to it (if you click this bar when you're in the folder it'll select the path and you can copy it)
Paste that into the config file and replace these: \ with these: / so you get something like this:
Save the file. You can change the maxActiveDownloads value if you want (it's how many files you'll be able to download at once)
Now the second part. Open cmd (search it here and click the first thing). You should get something like this:
Now, copy the path to the unzipped folder with the code.
You'll want your cmd to go to this folder. To do that, type in cd and paste your path UNLESS you have the same case I do, where your cmd is pointing to a different drive than you want it to go to (you can see in cmd I'm in C: and the folder is on my D drive) -- in this case, you need to type in cd /d and then paste the path, like this:
You can see it's now in that folder. Next we're going to type in pip install -r requirements.txt and hit enter. it should start installing the libraries for python that it needs. if it fails to download something or it keeps telling you that you can update pip you can ignore it 99% of the time.
if you get something like "oh noo I don't know what pip is" from your cmd it means there's something off with your python installation probably. Now, assuming we've changed the config file and installed requirements, we type in python src/main.py and hit enter. if you get an import error (first time I tried I got an error that said it tried to import something from requests and failed) look at what it's trying to import and try installing that (so in my case, I just typed in pip install requests) and then after that installs try python src/main.py again. If everything works, you might get asked to do a captcha. Type in the numbers and you should get something like this:
This means the program is running! Go to TSR, find something you like and copy the URL.
I'm going to get this:
so I just copy the URL and now when you look at your cmd you should see something like this:
this means it's downloading your file.
and once it's done...
here it is in my tsr folder that I made earlier. And that's it! I hope this is somewhat coherent and helpful.
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O2A2 Daily Log. DAY/NiGHT 1 (July 5th, 2024)
I'll be posting these until I get to the game's development conclusion!
Day I.
It was around 10 AM when I started working. My initial process laid in drafting the story. After deciding on the main character (in this case, Amaranth) I stripped the story to its two components – place and premise – because in other cases it’d be down to building the plot off of a character, and my mind runs wild whenever I construct it like that.
The place is the library, where souls come after they’ve passed, so an Afterlife Library. And the premise is quite simple – it’s a game for the player’s life! In this case, instead of a gamble it all comes down to outsmarting the machine, ahem, the experienced librarian.
And as a person who barely knows Python beyond freely coding in Ren’py, I wandered to the search engine to find a tutorial and realised that I’ll probably be better off searching on Reddit. One of the posts gave me a really good idea – the OP was talking about imagebuttons and logic and then it clicked for me.
Tic-tac-toe is a game where you draw the image inside the grid spaces, taking turns and adjusting your movements to your opponents’... Was it possible to code something like that?!
(duh, of course it was, this log is a testament to that)
I started by cropping the supposed “images” (solid blocks of two colours – one for the scroll and one for the charcoal), and cropped tiny squares of the scroll's colour. So the layering was like this – background scroll - big dark square - vertical box full of horizontal boxes of scroll’s colour, creating the illusion of a drawn grid, when in reality it is not.
And this marks the beginning of my two-hour suffering. I ditched the idea of imagebuttons that I wanted to go with, since that’d require assets, which I only could use one of. So I opted for textbuttons, and it was the most Hell I’ve had coding.
At first I couldn’t get them to show up. Then, I remembered to set a box just for them (x/y maximum of 70ish, since the squares are 90), had nightmares doing the horizontal and vertical boxes, and increased the font. Hooray! Visible!
Setting a variable on click with “action” function was easy, and soon enough I could fill an entire board with. Xs and Os. Time to code Amaranth’s turn in! (scared)
It wasn’t as scary as I imagined: basically, all tiles are “if” functions, and if they’re empty the player can fill them. If it’s not their turn, they’re not active, and Amaranth is quick to respond (I did a test to see if she’d fill an empty cell and she did!)
Then came the invisible (for now) work – I coded in a win condition. I SCREAMED WITH JOY WHEN I SAW THAT MY ARRAYS FINALLY UPDATED!
That concluded my day-work!
Night I.
So I decided to push forward and actually coded in her responses!
I took and hardcoded the first two turns for her Xs and the rest was assigned at random. As for Os, I made it do everything at random, since she’s more experienced at playing Xs! (totally not because I didn’t want to look at tic-tac-toe ever again)
Each turn the machine checks if there are any free spaces and if any of the rows match winning conditions. If they do, the player gets to the end plot (I still haven’t written any of it, aaaa!). If they don’t, the game continues until it’s a draw or X’s/O’s win.
With that, I finally slumped into the bed. Even with taking breaks it was kind of a hard exercise to be jumping straight into after a. Year. Of not working with Python’s syntax.
[I’ve cut off a huge text segment of me trying to design a less clunky random placement system, but all of my endeavours led to dead ends caused by my inexperience and complex requests. Thank you for all the answers, StackOverflow! So many people asking the same question, it makes me feel like we’re all a part of a big community…]
#nitunio.txt#nitudev#< lord knows i wont be using this tag much after the jam#o2a2#o2a2 vn jam#game jam#renpy
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Top 20 Backend Development Tools In 2023
Backend development plays a crucial role in the operation and performance optimisation of web and mobile applications, serving as their foundational framework. In the context of the dynamic technological environment, it is imperative for developers to remain abreast of the most recent and effective backend development technologies. In the year 2023, a plethora of advanced tools have surfaced, leading to a significant transformation in the approach to backend development. Reach out to Nivida Web Solutions - a noted Web development company in Vadodara and let's craft a website that sets you apart.
This analysis aims to examine the leading 20 backend development tools projected for the year 2023, which possess the potential to optimise operational effectiveness, raise work output, and achieve exceptional outcomes.
1. Node.js:
Node.js continues to be a prominent contender in the realm of backend development, offering a resilient framework for constructing scalable, server-side applications through the utilisation of JavaScript. The asynchronous and event-driven nature of the system renders it highly suitable for real-time applications and microservices.
2. Express.js:
Express.js is a Node.js framework that offers a basic and flexible approach to backend development. It achieves this by providing streamlined routing, efficient handling of HTTP requests, and effective management of middleware. The software possesses a high degree of extensibility, allowing developers to create tailored solutions.
3. Django:
Django, a renowned Python framework, is widely recognised for its exceptional performance, robust security measures, and remarkable scalability. The framework adheres to the "batteries-included" principle, providing a wide range of pre-installed functionalities and libraries that enhance the speed and efficiency of the development process.
4. Flask:
Flask, an additional Python framework, is characterised by its lightweight nature and user-friendly interface. The framework offers fundamental capabilities for backend development and enables developers to incorporate additional functionalities as required, thus rendering it very adaptable.
5. Spring Boot:
Spring Boot, which is built on the Java programming language, streamlines the process of creating applications that are ready for deployment by employing a convention-over-configuration methodology. The platform provides a variety of functionalities to construct resilient and scalable backend systems. Embark on a digital journey with Nivida Web Solutions - the most distinguished Web development company in Gujarat. Let's create a stunning, functional website tailored to your business!
6. Ruby on Rails:
Ruby on Rails, also referred to as Rails, is renowned for its high level of efficiency and user-friendly nature. The framework employs the Ruby programming language and places a strong emphasis on convention over configuration, facilitating expedited development processes.
7. ASP.NET Core:
ASP.NET Core is a highly adaptable and efficient cross-platform framework that facilitates the development of backend solutions through the utilisation of the C# programming language. The product provides exceptional performance, robust security measures, and effortless compatibility with many systems.
8. Laravel:
Laravel, a framework developed using the PHP programming language, is well-acknowledged for its sophisticated syntax and user-centric functionalities. The utilisation of this technology streamlines intricate operations such as authentication, caching, and routing, hence facilitating an expedited development procedure.
9. NestJS:
NestJS is a Node.js framework that adheres to the architectural patterns established by Angular, hence exhibiting a progressive nature. The software possesses a high degree of modularity, hence facilitating the scalability and maintenance of applications. NestJS places a strong emphasis on the principles of maintainability and testability.
10. RubyMine:
RubyMine is an influential integrated development environment (IDE) designed specifically for the purpose of facilitating Ruby on Rails development. The software provides advanced code assistance, navigation, and debugging functionalities, hence augmenting the efficiency of Ruby developers. Looking for a standout web presence? Let Nivida Web Solutions - the most popular Web development company in India craft a website that impresses. Reach out now and let's get started!
11. PyCharm:
PyCharm, an integrated development environment (IDE) designed specifically for the Python programming language, is extensively utilised in the realm of backend development. The software offers intelligent code completion, comprehensive code analysis, and integrated tools to facilitate fast development and debugging processes.
12. IntelliJ IDEA:
IntelliJ IDEA, a widely utilised integrated development environment (IDE), provides comprehensive support for multiple programming languages, encompassing Java, Kotlin, and many more. The software is renowned for its advanced coding assistance and efficient capabilities, which greatly assist backend developers in producing code of superior quality.
13. Visual Studio Code (VSCode):
VSCode is a code editor that is known for its lightweight nature and open-source nature. Due to its extensive extension library and high level of customizability, this platform is widely favoured by backend developers due to its versatile nature.
14. Postman
Postman is an efficient and powerful application programming interface (API) testing tool that streamlines the process of doing backend testing and facilitating communication among developers. This tool facilitates the efficient design, testing, and documentation of APIs, hence assuring a smooth integration process. Every click counts in the digital world. Partner with Nivida Web Solutions - one of the top Web development companies in Vadodara to create a user-friendly, engaging website. Choose Nivida Web Solutions to boost your online impact!
15. Swagger:
Swagger, currently recognised as the OpenAPI Specification, serves to enable the process of designing, documenting, and evaluating APIs. The standardised structure of API description facilitates the seamless and uncomplicated integration process.
16. MongoDB:
MongoDB, a widely adopted NoSQL database, has notable advantages in terms of scalability, flexibility, and superior performance. Due to its capacity to effectively manage substantial quantities of data and accommodate various data models, it is extensively employed in the realm of backend development.
17. PostgreSQL:
PostgreSQL, an open-source relational database management system, is widely recognised for its robustness, adaptability, and comprehensive SQL capabilities. This option is highly recommended for projects that necessitate a resilient backend data repository.
18. Redis:
Redis is an essential component for caching and real-time analytics due to its ability to store data structures in memory. The indispensability of this technology lies in its high performance and its capability to effectively manage data structures, hence facilitating the optimisation of backend processes.
19. Kafka:
Apache Kafka is a distributed streaming platform that handles real-time data processing. It's commonly used for building scalable, fault-tolerant backend systems that require high-throughput data ingestion and processing. Dive into the digital era with a website that wows! Collaborate with Nivida Web Solutions - one of the leading Web development companies in Gujarat and boost your online presence.
20. Docker:
Docker is a containerization technology that facilitates the streamlined deployment and scalability of programs. The utilisation of containers enables backend developers to encapsulate their programmes and associated dependencies, hence ensuring uniformity and adaptability across diverse contexts.
Final Thoughts:
It is of utmost importance for developers to be updated on the most recent backend development technologies in order to effectively offer applications that are efficient, scalable, and safe. The compendium of the foremost 20 backend development tools projected for the year 2023 encompasses an extensive array of functions, adeptly accommodating the multifarious requirements of backend development endeavours. These technologies provide developers with the ability to enhance their backend development endeavours and provide users with outstanding experiences, whether through the creation of real-time applications, database management, or performance optimisation. Your website is your digital storefront. Make it appealing! Contact Nivida Web Solutions - one of the most renowned Web development companies in India and design a website that captivates your audience. Get started now!
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Navigating the Full Stack: A Holistic Approach to Web Development Mastery
Introduction: In the ever-evolving world of web development, full stack developers are the architects behind the seamless integration of frontend and backend technologies. Excelling in both realms is essential for creating dynamic, user-centric web applications. In this comprehensive exploration, we'll embark on a journey through the multifaceted landscape of full stack development, uncovering the intricacies of crafting compelling user interfaces and managing robust backend systems.
Frontend Development: Crafting Engaging User Experiences
1. Markup and Styling Mastery:
HTML (Hypertext Markup Language): Serves as the foundation for structuring web content, providing the framework for user interaction.
CSS (Cascading Style Sheets): Dictates the visual presentation of HTML elements, enhancing the aesthetic appeal and usability of web interfaces.
2. Dynamic Scripting Languages:
JavaScript: Empowers frontend developers to add interactivity and responsiveness to web applications, facilitating seamless user experiences.
Frontend Frameworks and Libraries: Harness the power of frameworks like React, Angular, or Vue.js to streamline development and enhance code maintainability.
3. Responsive Design Principles:
Ensure web applications are accessible and user-friendly across various devices and screen sizes.
Implement responsive design techniques to adapt layout and content dynamically, optimizing user experiences for all users.
4. User-Centric Design Practices:
Employ UX design methodologies to create intuitive interfaces that prioritize user needs and preferences.
Conduct usability testing and gather feedback to refine interface designs and enhance overall user satisfaction.
Backend Development: Managing Data and Logic
1. Server-side Proficiency:
Backend Programming Languages: Utilize languages like Node.js, Python, Ruby, or Java to implement server-side logic and handle client requests.
Server Frameworks and Tools: Leverage frameworks such as Express.js, Django, or Ruby on Rails to expedite backend development and ensure scalability.
2. Effective Database Management:
Relational and Non-relational Databases: Employ databases like MySQL, PostgreSQL, MongoDB, or Firebase to store and manage structured and unstructured data efficiently.
API Development: Design and implement RESTful or GraphQL APIs to facilitate communication between the frontend and backend components of web applications.
3. Security and Performance Optimization:
Implement robust security measures to safeguard user data and protect against common vulnerabilities.
Optimize backend performance through techniques such as caching, query optimization, and load balancing, ensuring optimal application responsiveness.
Full Stack Development: Harmonizing Frontend and Backend
1. Seamless Integration of Technologies:
Cultivate expertise in both frontend and backend technologies to facilitate seamless communication and collaboration across the development stack.
Bridge the gap between user interface design and backend functionality to deliver cohesive and impactful web experiences.
2. Agile Project Management and Collaboration:
Collaborate effectively with cross-functional teams, including designers, product managers, and fellow developers, to plan, execute, and deploy web projects.
Utilize agile methodologies and version control systems like Git to streamline collaboration and track project progress efficiently.
3. Lifelong Learning and Adaptation:
Embrace a growth mindset and prioritize continuous learning to stay abreast of emerging technologies and industry best practices.
Engage with online communities, attend workshops, and pursue ongoing education opportunities to expand skill sets and remain competitive in the evolving field of web development.
Conclusion: Mastering full stack development requires a multifaceted skill set encompassing frontend design principles, backend architecture, and effective collaboration. By embracing a holistic approach to web development, full stack developers can craft immersive user experiences, optimize backend functionality, and navigate the complexities of modern web development with confidence and proficiency.
#full stack developer#education#information#full stack web development#front end development#frameworks#web development#backend#full stack developer course#technology
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This Week in Rust 533
Hello and welcome to another issue of This Week in Rust! Rust is a programming language empowering everyone to build reliable and efficient software. This is a weekly summary of its progress and community. Want something mentioned? Tag us at @ThisWeekInRust on Twitter or @ThisWeekinRust on mastodon.social, or send us a pull request. Want to get involved? We love contributions.
This Week in Rust is openly developed on GitHub and archives can be viewed at this-week-in-rust.org. If you find any errors in this week's issue, please submit a PR.
Updates from Rust Community
Official
crates.io: API status code changes
Foundation
Google Contributes $1M to Rust Foundation to Support C++/Rust "Interop Initiative"
Project/Tooling Updates
Announcing the Tauri v2 Beta Release
Polars — Why we have rewritten the string data type
rust-analyzer changelog #219
Ratatui 0.26.0 - a Rust library for cooking up terminal user interfaces
Observations/Thoughts
Will it block?
Embedded Rust in Production ..?
Let futures be futures
Compiling Rust is testing
Rust web frameworks have subpar error reporting
[video] Proving Performance - FOSDEM 2024 - Rust Dev Room
[video] Stefan Baumgartner - Trials, Traits, and Tribulations
[video] Rainer Stropek - Memory Management in Rust
[video] Shachar Langbeheim - Async & FFI - not exactly a love story
[video] Massimiliano Mantione - Object Oriented Programming, and Rust
[audio] Unlocking Rust's power through mentorship and knowledge spreading, with Tim McNamara
[audio] Asciinema with Marcin Kulik
Non-Affine Types, ManuallyDrop and Invariant Lifetimes in Rust - Part One
Nine Rules for Accessing Cloud Files from Your Rust Code: Practical lessons from upgrading Bed-Reader, a bioinformatics library
Rust Walkthroughs
AsyncWrite and a Tale of Four Implementations
Garbage Collection Without Unsafe Code
Fragment specifiers in Rust Macros
Writing a REST API in Rust
[video] Traits and operators
Write a simple netcat client and server in Rust
Miscellaneous
RustFest 2024 Announcement
Preprocessing trillions of tokens with Rust (case study)
All EuroRust 2023 talks ordered by the view count
Crate of the Week
This week's crate is embedded-cli-rs, a library that makes it easy to create CLIs on embedded devices.
Thanks to Sviatoslav Kokurin for the self-suggestion!
Please submit your suggestions and votes for next week!
Call for Participation; projects and speakers
CFP - Projects
Always wanted to contribute to open-source projects but did not know where to start? Every week we highlight some tasks from the Rust community for you to pick and get started!
Some of these tasks may also have mentors available, visit the task page for more information.
Fluvio - Build a new python wrapping for the fluvio client crate
Fluvio - MQTT Connector: Prefix auto generated Client ID to prevent connection drops
Ockam - Implement events in SqlxDatabase
Ockam - Output for both ockam project ticket and ockam project enroll is improved, with support for --output json
Ockam - Output for ockam project ticket is improved and information is not opaque
Hyperswitch - [FEATURE]: Setup code coverage for local tests & CI
Hyperswitch - [FEATURE]: Have get_required_value to use ValidationError in OptionExt
If you are a Rust project owner and are looking for contributors, please submit tasks here.
CFP - Speakers
Are you a new or experienced speaker looking for a place to share something cool? This section highlights events that are being planned and are accepting submissions to join their event as a speaker.
RustNL 2024 CFP closes 2024-02-19 | Delft, The Netherlands | Event date: 2024-05-07 & 2024-05-08
NDC Techtown CFP closes 2024-04-14 | Kongsberg, Norway | Event date: 2024-09-09 to 2024-09-12
If you are an event organizer hoping to expand the reach of your event, please submit a link to the submission website through a PR to TWiR.
Updates from the Rust Project
309 pull requests were merged in the last week
add avx512fp16 to x86 target features
riscv only supports split_debuginfo=off for now
target: default to the medium code model on LoongArch targets
#![feature(inline_const_pat)] is no longer incomplete
actually abort in -Zpanic-abort-tests
add missing potential_query_instability for keys and values in hashmap
avoid ICE when is_val_statically_known is not of a supported type
be more careful about interpreting a label/lifetime as a mistyped char literal
check RUST_BOOTSTRAP_CONFIG in profile_user_dist test
correctly check never_type feature gating
coverage: improve handling of function/closure spans
coverage: use normal edition: headers in coverage tests
deduplicate more sized errors on call exprs
pattern_analysis: Gracefully abort on type incompatibility
pattern_analysis: cleanup manual impls
pattern_analysis: cleanup the contexts
fix BufReader unsoundness by adding a check in default_read_buf
fix ICE on field access on a tainted type after const-eval failure
hir: refactor getters for owner nodes
hir: remove the generic type parameter from MaybeOwned
improve the diagnostics for unused generic parameters
introduce support for async bound modifier on Fn* traits
make matching on NaN a hard error, and remove the rest of illegal_floating_point_literal_pattern
make the coroutine def id of an async closure the child of the closure def id
miscellaneous diagnostics cleanups
move UI issue tests to subdirectories
move predicate, region, and const stuff into their own modules in middle
never patterns: It is correct to lower ! to _
normalize region obligation in lexical region resolution with next-gen solver
only suggest removal of as_* and to_ conversion methods on E0308
provide more context on derived obligation error primary label
suggest changing type to const parameters if we encounter a type in the trait bound position
suppress unhelpful diagnostics for unresolved top level attributes
miri: normalize struct tail in ABI compat check
miri: moving out sched_getaffinity interception from linux'shim, FreeBSD su…
miri: switch over to rustc's tracing crate instead of using our own log crate
revert unsound libcore changes
fix some Arc allocator leaks
use <T, U> for array/slice equality impls
improve io::Read::read_buf_exact error case
reject infinitely-sized reads from io::Repeat
thread_local::register_dtor fix proposal for FreeBSD
add LocalWaker and ContextBuilder types to core, and LocalWake trait to alloc
codegen_gcc: improve iterator for files suppression
cargo: Don't panic on empty spans
cargo: Improve map/sequence error message
cargo: apply -Zpanic-abort-tests to doctests too
cargo: don't print rustdoc command lines on failure by default
cargo: stabilize lockfile v4
cargo: fix markdown line break in cargo-add
cargo: use spec id instead of name to match package
rustdoc: fix footnote handling
rustdoc: correctly handle attribute merge if this is a glob reexport
rustdoc: prevent JS injection from localStorage
rustdoc: trait.impl, type.impl: sort impls to make it not depend on serialization order
clippy: redundant_locals: take by-value closure captures into account
clippy: new lint: manual_c_str_literals
clippy: add lint_groups_priority lint
clippy: add new lint: ref_as_ptr
clippy: add configuration for wildcard_imports to ignore certain imports
clippy: avoid deleting labeled blocks
clippy: fixed FP in unused_io_amount for Ok(lit), unrachable! and unwrap de…
rust-analyzer: "Normalize import" assist and utilities for normalizing use trees
rust-analyzer: enable excluding refs search results in test
rust-analyzer: support for GOTO def from inside files included with include! macro
rust-analyzer: emit parser error for missing argument list
rust-analyzer: swap Subtree::token_trees from Vec to boxed slice
Rust Compiler Performance Triage
Rust's CI was down most of the week, leading to a much smaller collection of commits than usual. Results are mostly neutral for the week.
Triage done by @simulacrum. Revision range: 5c9c3c78..0984bec
0 Regressions, 2 Improvements, 1 Mixed; 1 of them in rollups 17 artifact comparisons made in total
Full report here
Approved RFCs
Changes to Rust follow the Rust RFC (request for comments) process. These are the RFCs that were approved for implementation this week:
No RFCs were approved this week.
Final Comment Period
Every week, the team announces the 'final comment period' for RFCs and key PRs which are reaching a decision. Express your opinions now.
RFCs
No RFCs entered Final Comment Period this week.
Tracking Issues & PRs
[disposition: merge] Consider principal trait ref's auto-trait super-traits in dyn upcasting
[disposition: merge] remove sub_relations from the InferCtxt
[disposition: merge] Optimize away poison guards when std is built with panic=abort
[disposition: merge] Check normalized call signature for WF in mir typeck
Language Reference
No Language Reference RFCs entered Final Comment Period this week.
Unsafe Code Guidelines
No Unsafe Code Guideline RFCs entered Final Comment Period this week.
New and Updated RFCs
Nested function scoped type parameters
Call for Testing
An important step for RFC implementation is for people to experiment with the implementation and give feedback, especially before stabilization. The following RFCs would benefit from user testing before moving forward:
No RFCs issued a call for testing this week.
If you are a feature implementer and would like your RFC to appear on the above list, add the new call-for-testing label to your RFC along with a comment providing testing instructions and/or guidance on which aspect(s) of the feature need testing.
Upcoming Events
Rusty Events between 2024-02-07 - 2024-03-06 🦀
Virtual
2024-02-07 | Virtual (Indianapolis, IN, US) | Indy Rust
Indy.rs - Ezra Singh - How Rust Saved My Eyes
2024-02-08 | Virtual (Charlottesville, NC, US) | Charlottesville Rust Meetup
Crafting Interpreters in Rust Collaboratively
2024-02-08 | Virtual (Nürnberg, DE) | Rust Nüremberg
Rust Nürnberg online
2024-02-10 | Virtual (Krakow, PL) | Stacja IT Kraków
Rust – budowanie narzędzi działających w linii komend
2024-02-10 | Virtual (Wrocław, PL) | Stacja IT Wrocław
Rust – budowanie narzędzi działających w linii komend
2024-02-13 | Virtual (Dallas, TX, US) | Dallas Rust
Second Tuesday
2024-02-15 | Virtual (Berlin, DE) | OpenTechSchool Berlin + Rust Berlin
Rust Hack n Learn | Mirror: Rust Hack n Learn
2024-02-15 | Virtual + In person (Praha, CZ) | Rust Czech Republic
Introduction and Rust in production
2024-02-19 | Virtual (Melbourne, VIC, AU) | Rust Melbourne
February 2024 Rust Melbourne Meetup
2024-02-20 | Virtual | Rust for Lunch
Lunch
2024-02-21 | Virtual (Cardiff, UK) | Rust and C++ Cardiff
Rust for Rustaceans Book Club: Chapter 2 - Types
2024-02-21 | Virtual (Vancouver, BC, CA) | Vancouver Rust
Rust Study/Hack/Hang-out
2024-02-22 | Virtual (Charlottesville, NC, US) | Charlottesville Rust Meetup
Crafting Interpreters in Rust Collaboratively
Asia
2024-02-10 | Hyderabad, IN | Rust Language Hyderabad
Rust Language Develope BootCamp
Europe
2024-02-07 | Cologne, DE | Rust Cologne
Embedded Abstractions | Event page
2024-02-07 | London, UK | Rust London User Group
Rust for the Web — Mainmatter x Shuttle Takeover
2024-02-08 | Bern, CH | Rust Bern
Rust Bern Meetup #1 2024 🦀
2024-02-08 | Oslo, NO | Rust Oslo
Rust-based banter
2024-02-13 | Trondheim, NO | Rust Trondheim
Building Games with Rust: Dive into the Bevy Framework
2024-02-15 | Praha, CZ - Virtual + In-person | Rust Czech Republic
Introduction and Rust in production
2024-02-21 | Lyon, FR | Rust Lyon
Rust Lyon Meetup #8
2024-02-22 | Aarhus, DK | Rust Aarhus
Rust and Talk at Partisia
North America
2024-02-07 | Brookline, MA, US | Boston Rust Meetup
Coolidge Corner Brookline Rust Lunch, Feb 7
2024-02-08 | Lehi, UT, US | Utah Rust
BEAST: Recreating a classic DOS terminal game in Rust
2024-02-12 | Minneapolis, MN, US | Minneapolis Rust Meetup
Minneapolis Rust: Open Source Contrib Hackathon & Happy Hour
2024-02-13 | New York, NY, US | Rust NYC
Rust NYC Monthly Mixer
2024-02-13 | Seattle, WA, US | Cap Hill Rust Coding/Hacking/Learning
Rusty Coding/Hacking/Learning Night
2024-02-15 | Boston, MA, US | Boston Rust Meetup
Back Bay Rust Lunch, Feb 15
2024-02-15 | Seattle, WA, US | Seattle Rust User Group
Seattle Rust User Group Meetup
2024-02-20 | San Francisco, CA, US | San Francisco Rust Study Group
Rust Hacking in Person
2024-02-22 | Mountain View, CA, US | Mountain View Rust Meetup
Rust Meetup at Hacker Dojo
2024-02-28 | Austin, TX, US | Rust ATX
Rust Lunch - Fareground
Oceania
2024-02-19 | Melbourne, VIC, AU + Virtual | Rust Melbourne
February 2024 Rust Melbourne Meetup
2024-02-27 | Canberra, ACT, AU | Canberra Rust User Group
February Meetup
2024-02-27 | Sydney, NSW, AU | Rust Sydney
🦀 spire ⚡ & Quick
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Quote of the Week
My take on this is that you cannot use async Rust correctly and fluently without understanding Arc, Mutex, the mutability of variables/references, and how async and await syntax compiles in the end. Rust forces you to understand how and why things are the way they are. It gives you minimal abstraction to do things that could’ve been tedious to do yourself.
I got a chance to work on two projects that drastically forced me to understand how async/await works. The first one is to transform a library that is completely sync and only requires a sync trait to talk to the outside service. This all sounds fine, right? Well, this becomes a problem when we try to port it into browsers. The browser is single-threaded and cannot block the JavaScript runtime at all! It is arguably the most weird environment for Rust users. It is simply impossible to rewrite the whole library, as it has already been shipped to production on other platforms.
What we did instead was rewrite the network part using async syntax, but using our own generator. The idea is simple: the generator produces a future when called, and the produced future can be awaited. But! The produced future contains an arc pointer to the generator. That means we can feed the generator the value we are waiting for, then the caller who holds the reference to the generator can feed the result back to the function and resume it. For the browser, we use the native browser API to derive the network communications; for other platforms, we just use regular blocking network calls. The external interface remains unchanged for other platforms.
Honestly, I don’t think any other language out there could possibly do this. Maybe C or C++, but which will never have the same development speed and developer experience.
I believe people have already mentioned it, but the current asynchronous model of Rust is the most reasonable choice. It does create pain for developers, but on the other hand, there is no better asynchronous model for Embedded or WebAssembly.
– /u/Top_Outlandishness78 on /r/rust
Thanks to Brian Kung for the suggestion!
Please submit quotes and vote for next week!
This Week in Rust is edited by: nellshamrell, llogiq, cdmistman, ericseppanen, extrawurst, andrewpollack, U007D, kolharsam, joelmarcey, mariannegoldin, bennyvasquez.
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Discovering the Building Blocks of Selenium in Simple Terms

Selenium IDE (Integrated Development Environment)
Think of Selenium IDE as a special notepad for recording what you do on a website. It’s like a diary that writes down the things you do on the internet. This is a simple way to start testing websites. Selenium IDE (Integrated Development Environment) is the simplest tool in the Selenium Suite. It is a Firefox add-on that creates tests very quickly through its record-and-playback functionality. This feature is similar to that of QTP. It is effortless to install and easy to learn.
Selenium WebDriver
Now, let’s get a little technical. WebDriver is like the engine that makes your testing happen. It’s a set of tools for different computer languages, like Java or Python. These tools help you do things on a website, like clicking buttons or filling out forms, just like a real person. Selenium WebDriver is a browser automation framework that accepts commands and sends them to a browser. It is implemented through a browser-specific driver. It directly communicates with the browser and controls it. Selenium WebDriver supports various programming languages like Java, C#, PHP, Python, Perl, and Ruby.
Selenium Grid
When you want to test on different internet browsers at the same time, that’s where Selenium Grid comes in. It helps you spread your tests across different computers to make sure everything works on different browsers and devices. Hub is a server that accepts access requests from the WebDriver client, routing the JSON test commands to the remote drives on nodes.
Selenium Client Libraries
Remember those tools I mentioned earlier? Client libraries are like special helpers that let you use those tools in your favourite computer language. They help you talk to WebDriver. So, whether you like Java, Python, or something else, you can use Selenium without any problems. The Selenium Client Library consists of various language libraries for Java, Ruby, Python, and other supported languages. JSON denotes Java script Object Notation.
Third-party frameworks and tools
Selenium can do even more when you use it with other tools. These tools help you organise your tests and make them easier to understand. They can also help you test mobile apps and other things. Selenium frameworks based on the functional approach are classified into three main types: Data-driven framework. keyword-driven framework. Hybrid framework.
Browsers and Web Drivers

Selenium is a great tool for testing websites. Its parts, from Selenium IDE for recording what you do to WebDriver for doing things on websites and Selenium Grid for testing on different browsers, work together to make testing easier. With Selenium, you can make sure your websites work well on different browsers and devices. So, next time you want to test a website, remember that Selenium is there to help you. Happy testing! To dive deeper into Selenium and unlock its full potential, consider reaching out to ACTE Technologies, a leading provider of certifications and job placement opportunities in the field of Selenium. Their experienced staff can guide you on your journey to mastering this versatile tool.
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How is Python used in Web Development?

Are you curious about how Python is transforming the world of web development? Look no further! Python has revolutionized the way developers build web applications, and it's no wonder why. With its simple syntax and powerful libraries, Python has become a go-to language for web development. Whether you're building a simple website or a complex web application, Python Online has the tools you need to succeed. Python is a popular language for web development, offering tools for Python code and working with the Python set. Additionally, website design is a crucial aspect of successful web development.
And if you're looking for a reliable web development partner, look no further than Techsharks. As a leading web development company, Techsharks offers a range of services and solutions to help businesses thrive online. Let's dive into the world of Python and discover how it's changing the game in web development.
How Python is Revolutionizing Web Development: A Comprehensive Guide
Python is one of the most popular programming languages in the world, and it's easy to see why. Python has a simple syntax, making the language accessible to beginning coders or those who are new to programming. It also has standard libraries for common tasks such as networking, data structures, and serialization. But Python isn't just useful for writing scripts, it is also useful for building full applications as well! In this post, we'll take a look at how use of Python is important in web development.
Python for Web Development
Python has several features that make it suitable for web development. First, it is an interpreted language, which means that developers can write and test code quickly. Second, it has a large and active community that creates and maintains libraries and frameworks for web development. Third, Python is a high-level language, which means that it is easier to read and write code, making it faster to develop web applications.
Python Frameworks for Web Development
Python has several popular frameworks for web development, including Django, Flask, Pyramid, and Bottle. These frameworks provide developers with a structure for building web applications, making it easier to manage and organize code. Django is the most popular Python framework for web development, and it is widely in use by companies like Instagram, Pinterest, and Mozilla.
Python Libraries for Web Development
Python also has several libraries for web development, including Requests, BeautifulSoup, and Scrapy. These libraries make it easier to work with web data, such as parsing HTML and XML, making HTTP requests, and web scraping. Requests is a popular library for making HTTP requests, while BeautifulSoup and Scrapy are for web scraping.
Python for Full-Stack Web Development
For full-stack web development, Python is important. It involves developing both the front-end and back-end of web applications. Python can become a part of popular front-end frameworks like React and Angular, and it can also with databases like MySQL, PostgreSQL, and MongoDB.
Scalability of Python in Website Building
Another advantage of Python in web development is its scalability. Python can handle large and complex web applications with ease, making it a popular choice for companies with high-traffic websites. Additionally, Python's ability to integrate with other technologies and platforms makes it a versatile language for web development.
Python has become a popular choice for web development due to its simplicity, readability, and wide range of libraries and frameworks. It is in utilization by some of the biggest companies in the industry and has become a game-changer in the world of web development. As the demand for web development continues to grow, it is clear that Python will continue to play a significant role in shaping the industry.
Python is a General-Purpose, High-Level Programming Language
Python is a general-purpose, high-level programming language. It has been around since 1991 and is used across many domains including web development, machine learning, and data science.
It's also a very popular choice for beginners because it's easy to learn and use. Once you start with Python you can build powerful applications quickly using its extensive library of modules called 'packages' which help you achieve tasks such as connecting to databases or building RESTful APIs (Application Programming Interface).
Another reason why people like working with Python is because it's dynamically typed. This means that variables don't have any type information until they are explicitly needed to define during runtime instead of being assigned an explicit type when they're declared at compile time like C++ or Java would require them to do so before executing any code within those languages' respective environments."
It's Considered to be a Dynamic Language
The dynamic nature of Python means that the language allows you to create and manipulate objects on the fly. This is in contrast with other languages, such as Java or C++, which require you to declare variables before their utilization. This makes Python a great choice for web development because it helps developers create websites faster than other languages would allow them to do so.
Python is Object-Oriented and Has Dynamic Typing with Exceptions
What this means is that a variable can hold any type of value. It isn't limited to specific types like integers or strings. It also means that you don't have to declare the type of data that goes into your variables before using them--you can just set them equal to something and start working with it!
This feature gives us flexibility in our code. We can write functions or methods (smaller pieces of code) without having to worry about what kind of data they'll be receiving from their callers; we just need an idea of what kind of objects those methods will return when called with certain arguments. As long as there's some way for us to tell whether or not something went wrong during execution (i.e., an exception), then exceptions won't cause problems when handling errors locally within our function/method bodies themselves either!
Building a Wide Variety of Applications
Python is a general-purpose, high-level programming language. People consider python to be a dynamic language, which means that it can change and adapt during runtime. Python also has dynamic typing (and not static typing), with exceptions. This means that if you try to use an object in a way that doesn't make sense for its type, Python will throw an error instead of treating it as valid data--this can help prevent bugs!
Python is a great programming language, and has different ways. It's popular with web developers because of its flexibility and ease of use. You can use Python to build websites and web services without having to learn new languages like PHP or Java - all you need is some basic knowledge of HTML and CSS!
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