#But none of our projects use python

[ziekkfreak2-0]

On one hand, I hate my robotics teacher for teaching us the same lesson on python loops we've been learning for half the damn school year, then expecting us to make an innovative robot in 3 weeks when arduino is based on C++.

I was gonna counter that with something else, but as I wrote it I realized just how stupid it actually is. Fuck it. Venting time.

NO CUZ I CAN'T UNDERSTAND THIS GUY. WDYM "Programming's easy! You learn the basics, and from there you make your own solutions." ??? That's not verbatim but. STILL.

I'll give him a bit of credit, he taught us the basics of arduino. The proper syntax, loops, variables, functions, motor control, sensors, etc. But for god's sake, that limited pool of knowledge can only get you enough to make a mini car! It would've been nice to learn about fading LEDs, integer overflow, pointers vs the actual value in a variable, OR EVEN WHAT DOCUMENTATION IS. YEAH. DOCUMENTATION. THE LITERAL OFFICIAL EXPLANATION FOR KEY FEATURES IN PROGRAMMING LANGUAGES.

But suddenly its OUR fault our code doesn't work because "I taught you the basics. If you don't understand, that means you're not listening during my classes." MAYBE IF YOU STOPPED TEACHING US WHAT A FUCKING FOR LOOP IS, WE'D HAVE A REASON TO LISTEN. Majority of my understanding of robotics are a product of self study and receiving help from my family and their long list of IT contacts.

Not only that, HE is the one that approves of our robotics projects. If YOUR students can't complete the project YOU personally approved of, isn't that an error on your part? You should know what your students are capable of making. You should know because they should only know WHAT YOU TEACH THEM. So surprise surprise when your students feel like they're forced to hire people to do their projects, all because of your failure to teach them the skills they needed to do it themselves.

The only people getting a passing grade in this class are gonna be those that are either rich or have a lot of contacts. What a fucking joke.

And don't be mistaken, this is NOT the complaint of someone who doesn't understand programming. I consistently get 90% and above on his exams and do coding for fun. I'm complaining on behalf of my classmates who weren't as lucky as me, in that I have way more people to ask help from.

"100% working by this week" my ass. Actually teach us something relevant for once.

[thatdehydratedmedic]

Recent pursuits of knowledge - Mid June

Recently I've fallen into the typical academic rabbit hole where one thing leads to another and suddenly both your hands are full of more and more things to learn.

By a chance occurrence, a random google search led me to find a Maldivian scientific journal. Since my male audacity (I'm a girl, btw) has long convinced me that I'm in fact capable of anything and everything, I decided I would do a little research and try to publish it in the little time I have before I start medical school. (Which, by the way, is already less than 2 months.)

As it goes, dominoes fell, one by one. First I thought of doing a small study on medicinal herbs of the nation. Something along the lines of testing the effectiveness of 'Dhivehi beys'. However, a little voice in the back of my head would not stop whispering in my ear, begging me to try doing one about dreams. At this point in time, I had no idea what exactly I was looking for. I presented this barely-thought-out plan to my dear friend. She was on board, and she also shared that she also thought dreams were a lot more interesting of a subject than medicinal herbs.

So with a theme in mind, I began looking into past research and well established theories on our subject of study. I learnt quite a few interesting things about Bion's dream theory. Unfortunately, in the midst of preparing our google doc, something else caught my eye. Having shared the google doc containing everything I had found at that point with my friend, I decided to start learning the programming language R. I told myself it would prove to be useful in our study. (For reference, I had begun this adventure at around 10 PM, it was now 2 AM.)

Having learnt all the fundamentals and syntax of the language, I finally went to sleep at 4 AM. Next morning, I slept in. However, as soon as I woke up, I did some more reading on dreams and updates our shared google doc. After begging my friend to please read the damn document, I started working on R again.

For the next few days, I did not do any more reading on dreams. I have since forgotten about the matter if I'm being completely honest. On the other hand, I had found it much more interesting to tinker with R, trying out the different graphical features R had to offer.

You would think I stuck with perfecting R, and would have learnt it to some degree by now, but you could not possibly be more wrong because I am plagued by my interest in way too many things. A jack of all trades, a master of none. I am a museum of abandoned hobbies. R did not escape this cruel fate, because as luck would have it, I soon rediscovered my love for python.

I downloaded python and pygame. It was as if I had reconnected with an old friend.

I am contemplating on whether I should mention my brief encounter with html and css. Some of the very first languages I learnt. I started a simple and goal-less project website as I waited for python to install. It seems useless to mention as this only lasted 5 minutes - or maybe even less.

Today, it's been a week since all of this has occurred. And today, I have no interest in any of these. Which is why I painted today. I am a museum of abandoned hobbies, and sometimes I revisit my old friends.

[eggs-attorney]

Hello, everyone.

I know only 12 people currently follow this blog, but I know I've been thoroughly enjoying this project, and was very excited for its future.

Things have hit a bit of a rough patch, and (not giving too much detail) our programmer may be leaving the team, leaving us not very tech-savvy folk with no way to really execute our idea. We were using PyWright, some sort of Python-based program specifically for making Ace Attorney stuff, but none of the remaining members know how to use it or where to begin.

If anyone who sees this either knows how to use PyWright and is willing to help, generally knows coding and is willing to help, or knows of a non-defunct easy to use tool we could replace it with ourselves, the effort would really be appreciated.

For now, the project is (sadly) likely going to be put on hold due to this development. I'll give an update if anything comes, but again, any help with the issue would be great, as would folks spreading the word to those who may have even the slightest interest in something like this, coding, the theme of the game, etc.

[scotianostra]

10th January 1945 saw the birth of pop star Rod Stewart.

Although born in London Rod’s father was Scottish and he counts himself as a Scot. Stewart performed in several bands in the 1960s including Python Lee Jackson and The Faces. He worked a series of odd jobs, including working as a grave digger, before his singing career took off

Embarking on a solo career, Maggie May became his first hit single in 1971 Stewart moved to the United States in 1975. The next year, he reached the top of the U.S. charts with “Tonight’s the Night” from A Night on the Town. Stewart continued to have a slicker, more pop sound as the decade progressed. He also developed a reputation for his partying lifestyle and for dating numerous actresses and models. With 1978’s Blondes Have More Fun, he had another smash hit single with “Do Ya Think I’m Sexy?”

The 1980s proved to be more challenging for Stewart. While 1981’s Tonight I’m Yours went platinum, the albums that followed did not fare as well. He ended the decade on a positive note, however. His remake of the Tom Waits song “Downtown Train” in 1989 received a lot of radio play. A few years later, he released Unplugged and Seated, which was recorded at an MTV Unplugged concert and featured the hit “Have I Told You Lately.”

With his distinctive throaty, almost scratchy-sounding voice, Stewart decided to take on some of the classic songs and make them his own with It Had to be You: The Great American Songbook. He recorded four volumes of the Great American Songbook series, and won his first Grammy Award (best traditional pop vocal album) for Stardust: The Great American Songbook, Volume III in 2004.

At the age of 60, Stewart became a father for seventh time. His son, Alastair Wallace Stewart, was born on November 27, 2005. This was his first child with then fiancée Penny Lancaster. The couple married in 2007 and welcomed a second son, Aiden, in 2011. He also has a daughter, Kimberly, and a son, Sean, from his first wife Alana Stewart and a daughter named Ruby with former girlfriend Kelly Emberg. Rod also has two children from his marriage to model Rachel Hunter—Renee and Liam. Stewart publicly acknowledged his oldest daughter, Sarah Streeter, in 2013. Streeter was born when Stewart was only 18 years old, and he and the girl’s mother had decided to put their baby up for adoption. Stewart and Streeter first met in 2008.

In 2006, Stewart returned to rock music with Still The Same: Great Rock Classics of Our Time. The album reached the top of the pop charts in October of that year. Stewart put down the microphone and picked up a pen to write his 2012 memoir Rod: The Autobiography. The following year, he made an impressive return to songwriting with his album Time. Stewart co-wrote many of the record’s songs as well as serving as a co-producer on the project.

Although reaching his 77th birthday Rod shows no signs of living a quiet pensioner lifestyle, he and his son were involved with an altercation in Florida, with Rod throwing a punch at a security guard after he refused them entry to an event. He will need to be careful or he might end up being arrested by wife, Penny, who as well as working as a model, has volunteered as a Special Constable in the police.

Rod continues to release music, a new album is due out soon.

Strewart and his family spent the festive season in Scotland at the Gleneagles hotel. The generous singer bSowled over the saff when he decided to offer them £10,000 as a compliment for their hard work over the festive period.

He then jokingly suggested staff should put it to good use and stick every penny of it on Scotland to win the Euros this summer., let's hope we certainly do well!

Stewart, who is due to release a new album next month, said: “I’ve been lucky enough to stay in some of the top hotels in the world and the service at Gleneagles is second to none.

“The staff do a terrific job at a very hectic time of the year and deserve every penny. It’s Scottish hospitality at its very best.”

On his tip, he joked: “I advised the boys and girls at Gleneagles to invest the money wisely – stick the lot on Scotland to win the Euros.”

No matter what you think, nobody can deny his Scottish heritage or love for Scotland

Rod played Edinburgh Castle last year and I love this wee clip that captured the moment his 94 year old sister joined him on stage as he belted out Sailing.

[transienturl]

I just had the sudden realization that the extended xkit rewritten team could probably, in theory, do a full tumblr backup app that would blow that tumblr-utils python script out of the water.

(I guess in theory the best compatibility would be from writing a frontend that renders the tumblr-utils backup format using our existing npf code and nope they don't save npf json, never mind.)

there are a number of problems I can think of with this, the biggest of which for me is honestly that between all of the public backup scripts I'm aware of, the personal backup scripts I know many have made, and on related projects like tumblr search databases (I know of at least two of these, one of which is public), easily many hundreds to thousands of development hours have been spent on relevant code already, none of which we would realistically be able to use, and I get demotivated writing code that feels like a duplicate of someone else's for a marginal benefit. yes, that's a stupid problem to choose as the main one; there are a lot more.

(the only non-stupid reason I can give to justify this as a concern is that it means that someone else could make or could currently be making a piece of code that also does this and would be able to reuse existing work, and my instinct is basically saying "don't start working on something until you confirm that to the best of your knowledge there isn't a more efficient way for it to get done," which isn't exactly an instinct I dislike.)

I guess this is just one of the things you deal with in the open source space in general: unless people step up and decide to eat the organizational costs in order to get the benefit of collaborating, you wind up with many individual projects in the same general space, each tied to the personal preferences of one main developer, none of which interoperate, and which thus repeatedly run into each other's scopes and either duplicate work (wasteful) or informally decide not to overlap in functionality (so that in the users having to install and use a kaleidoscope of mutually incompatible tools to do a basic thing, resulting in most users just not using any of them). I mean, I guess I don't know if this is universal; all I can say is that I've worked on exactly two overarching projects in open source and precisely the same thing happened both times.

well, anyway. I had this idea literally just right now but I think I can pretty confidently say you should not expect us to do it, so don't get excited.

[douchebagbrainwaves]

EVERY FOUNDER SHOULD KNOW ABOUT NOTHING

Before they can judge whether you've built a good x, they have less reputation to protect. After ten weeks' work the three friends have an idea—either an idea for something they might build, or simply the idea let's start a company. 6 is starting to appear in the mainstream. You could have both now. None of them are fairly close to Lisp. You don't build a silicon valley becomes: who are the 5 who've influenced me most? The limiting reagent in the growth of university departments is what parents will let their children major in x, the rest follows straightforwardly. Expressing ideas helps to form them. In that case, in the sense that architects have to design buildings that don't fall down, but the most successful companies we've funded so far, and they also have more brand to preserve. Angels are individual rich people.

Certainly. The most dramatic change, I predict, is that there is now potentially an actual audience for our work. I have never seen any of ITA's code, but according to one of their apartments at first, and that's why we even hear about new, indy languages like Perl and Python because people are using them to write Windows apps, but because if other investors are all subject to the same forces. Fortunately there is a big bias toward writing the application in the same way. For millennia that was the canonical example of a job someone had to do without. Because fundraising is so distracting, a startup should either be in fundraising mode. Losing, for example, by going to work for Intel. But if it isn't set because you haven't closed anyone yet, and they tend to write it yourself, then all that code is doing nothing but make your manual thick. And yet these ideas turn out to be a startup.

There has been a lot written lately about the creative class—you probably have to ban large development projects. So they invested in new Internet startups. GMail, but fast, that alone would let you start to get the wrong answers. But it will happen, and it doesn't have the side effect of making your whole country poor. Nothing seems to stick. But as knowledge has grown more specialized, there are more and more desirable things. You can write little glue programs in Lisp too I use it when I get close to a deadline.

What hard liquor, cigarettes, heroin, and crack have in common is that we invest in the initial phases of a startup idea. When everyone wants you, it's hard not to let it go to your head. Wouldn't it work to have the government, or some large almost-government organization like Fannie Mae, do the venture investing instead of private funds? So you get a call from a VC firm, you shouldn't meet even if you are a Lisp hacker. In fact investors who reject you are some of your warmest leads for future fundraising. To attract the young, a town that has attractions other than the university. They reject nearly everyone they talk to, which means in the average case bad advice. Cambridge seemed to have the government, or some large almost-government employees to do the unpleasant jobs. The nine ideas are, in order of how much they want you to sell them more of your company. Number 1, languages vary in power.

You're rolling the dice again, whether you like it or dislike it. But in practice innovations were so rare that they weren't written the way we'd been taught to write essays at all. Except instead of being dragged sideways into a discussion of price. But the students writing them don't realize they're using the same structure as the articles they read in Cosmopolitan. Though you can focus on different plans when talking to different types of solutions to this problem would be to anyone else who felt uneasy about apparently forgetting so much they'd read. Gradually through word of mouth they start to talk about it. So seed investors usually care less about the idea of work still included a large component of pain. But not everyone wants to answer. How do you find surprises? Between them, these two facts are literally a recipe for making money. There's a scene in Being John Malkovich where the nerdy hero encounters a very attractive, sophisticated woman. If you don't know what you're going to be.

[overgrownmoon]

ok hear me out i wanna know if this is a good idea

so i’ve been struggling trying to make cool and interesting flora+fauna for my alien world bc all of my brain is focused on the sophonts themselves. i’ve tried using the random generator method but none of what i’ve found have been quite what i’m looking for - they’re often centric around earth life to make earth-like creatures, which is fair, but not what i’m looking for.

i also really love creature collector games (especially pokémon!) that have encyclopedias of info about the critters with clear classifications and info like types, body type, egg group, etc. i especially like pokémon’s dex bc of the extra info like body type and footprint and main color bc they add little gameplay value but add to the idea of this being a field guide, y know?

i have an idea to make my own random generator with these types of kinda vague categories to mash together that won’t give me something specific, but ideas to iterate on and make something unique. a body plan, a footprint, a diet, a color or two, a habitat, something like that that isn’t very scientific but gives me just enough information to be creative with it. my world isn’t a creature collector - but wait, it could be? i do adore the genre. maybe it could be inspired by the genre. i already had plans to have it be told via our protagonists journal entires and sketches of his travels. i could totally have a sense of “completing a pokédex” tie into that. that… could actually be a lot of fun and give me a focus for this project. i’ve been struggling finding a main hook to latch onto. a lot of folk in this niche little circle are really focused on the specbio and nitty-gritty science of it all and while i like that part too, i also love a sense of the fantastical.

hmm. i’ll have to think about it. i do not want a type chart though that isn’t very in line with what i want, that implies some sort of battle system that i do not want to be present; but perhaps i could pull from the idea of categorizing specimens with traits, and then play with the fact that biology never truly fits within our made up categories? that could be a lot of fun. tons of journal entries just complaining about a plant that staunchly refuses to sit neatly in a category, how rude and entirely inconvenient!

part 2 would be actually making the generator. the simplest way would be to just write up some dice tables but this also sounds like a good project to code in python as practice; i’ve been looking for a project like that to force myself to learn the language and actually enjoy myself. i actually enjoy the process of coding when it’s not pissing me off… and it would be a good skill to have and all that. if anyone wants to launch tutorials my way that’d be cool and awesome

once again i’m typing all of this while i walk to class with no gloves and my fingers are fucking freezing it’s 31°F here goodbye

[tech4bizsolutions]

DIY Air Quality Monitoring System

Introduction

In this DIY guide, we’ll walk you through building an Air Quality Monitoring System to keep tabs on the air quality in your home or surrounding environment. This project collects and tracks key air quality metrics — such as CO2 levels, PM2.5 particles, temperature, and humidity — and displays them in real time on a mobile app or web dashboard. Perfect for health-conscious individuals, this IoT project provides valuable insights into your environment and helps you make adjustments to improve indoor air quality.

Why Build an Air Quality Monitoring System?

The air we breathe has a direct impact on our health, yet indoor air quality often goes overlooked. By monitoring indoor CO2 and particulate matter levels, as well as temperature and humidity, you can create a healthier living space. This system helps you identify potential air quality issues, like high CO2 levels or excessive dust particles, that may require ventilation or filtration.

Benefits of Monitoring Air Quality:

Healthier Environment: Improve indoor air quality by tracking harmful pollutants.

Real-Time Alerts: Get notified when air quality drops below safe levels.

Data-Driven Decisions: Use data insights to decide when to ventilate or clean the air.

Long-Term Tracking: Log data over time to see how seasonal or activity changes impact air quality.

Key Components and Technologies

To build your Air Quality Monitoring System, you will need:

Microcontroller: Use a Raspberry Pi or ESP32 to serve as the main control unit. Both offer robust processing power and easy integration with sensors and cloud platforms.

Air Quality Sensors:

CO2 Sensor: The MQ135 sensor is an affordable option for measuring CO2 levels.

PM2.5 Sensor: The PMS5003 sensor detects fine particulate matter in the air, which can contribute to respiratory issues.

Temperature and Humidity Sensor: DHT11 or DHT22 sensors monitor environmental conditions that can affect indoor air quality.

Wi-Fi Module: ESP32 has built-in Wi-Fi, while Raspberry Pi can connect via a Wi-Fi dongle or built-in module, enabling remote data access.

Cloud Service for Data Storage and Visualization:

Use platforms like Cloudtopiaa, Blynk, or Thingspeak to store, visualize, and analyze your data. Cloudtopiaa provides reliable cloud services with secure data storage and custom visualization options.

Additional Components:

Jumper wires and breadboard

Power supply for the microcontroller

Basic tools like a soldering iron if needed

Step-by-Step Guide

Step 1: Set Up the Microcontroller

Choose and Prepare Your Microcontroller:

For this guide, we’ll use a Raspberry Pi. Set up the latest version of Raspbian OS on the Raspberry Pi.

Connect the Components:

Attach the MQ135 CO2 sensor to one of the GPIO pins.

Connect the PMS5003 PM2.5 sensor to another GPIO pin.

Connect the DHT11 or DHT22 sensor for temperature and humidity.

Step 2: Install Required Libraries

Open the terminal on your Raspberry Pi and install the libraries necessary for sensor data collection and Wi-Fi connectivity.sudo apt-get update sudo apt-get install python3-pip pip3 install adafruit-circuitpython-mq135 pip3 install adafruit-circuitpython-pm25 pip3 install Adafruit_DHT

Step 3: Program the Sensors

Write a Python script to read data from each sensor. Here’s a basic example for reading CO2, PM2.5, temperature, and humidity data.import time import Adafruit_DHT import board import adafruit_mq135 import adafruit_pm25

# Setup DHT_SENSOR = Adafruit_DHT.DHT22 DHT_PIN = 4 CO2_SENSOR = adafruit_mq135.MQ135(board.A0) PM25_SENSOR = adafruit_pm25.PM25_UART(board.UART1)

def read_sensors(): # Read temperature and humidity humidity, temperature = Adafruit_DHT.read_retry(DHT_SENSOR, DHT_PIN) # Read CO2 level co2_level = CO2_SENSOR.co2 # Read PM2.5 level pm25_data = PM25_SENSOR.read() pm25 = pm25_data['pm25'] if 'pm25' in pm25_data else None return temperature, humidity, co2_level, pm25

while True: temp, humidity, co2, pm25 = read_sensors() print(f"Temperature: {temp}°C, Humidity: {humidity}%, CO2 Level: {co2} ppm, PM2.5: {pm25} µg/m³") time.sleep(10)

Step 4: Cloud Integration with Cloudtopiaa

Set Up a Cloudtopiaa Account: Sign up for Cloudtopiaa to leverage their reliable data storage and visualization capabilities.

Create an IoT Project: Set up a new project and get an API key to send sensor data.

Connect Your Microcontroller: Update your script to send data to Cloudtopiaa.

Step 4: Cloud Integration with Cloudtopiaa

Set Up a Cloudtopiaa Account: Sign up for Cloudtopiaa to leverage their reliable data storage and visualization capabilities.

Create an IoT Project: Set up a new project and get an API key to send sensor data.

Connect Your Microcontroller: Update your script to send data to Cloudtopiaa.

import requests

CLOUDTOPIAA_API_KEY = "Your_Cloudtopiaa_API_Key"

def send_data_to_cloud(temp, humidity, co2, pm25): url = "https://api.cloudtopiaa.com/v1/data" # Example endpoint payload = { "temperature": temp, "humidity": humidity, "co2": co2, "pm25": pm25 } headers = { "Authorization": f"Bearer {CLOUDTOPIAA_API_KEY}" } requests.post(url, json=payload, headers=headers)

while True: temp, humidity, co2, pm25 = read_sensors() send_data_to_cloud(temp, humidity, co2, pm25) print(f"Sent data to Cloudtopiaa: Temperature: {temp}°C, Humidity: {humidity}%, CO2: {co2} ppm, PM2.5: {pm25} µg/m³") time.sleep(600) # Send data every 10 minutes

Step 5: Set Up Data Visualization

Log in to your Cloudtopiaa account to view your data in real-time. Use built-in visualization options to create charts and graphs that track air quality metrics over time.

Step 6: Build a Mobile App or Web Dashboard

Use a platform like Cloudtopiaa’s dashboard, Blynk, or a custom web interface to create a user-friendly dashboard that displays current air quality data and historical trends.

Conclusion

You’ve successfully built an Air Quality Monitoring System to help maintain a healthier environment in your home or workspace. With this system, you can track real-time air quality, make data-driven decisions about ventilation, and improve indoor air conditions for better health. Cloudtopiaa’s secure storage and powerful visualization tools make it easy to monitor your air quality from anywhere.

Additional Resources

Cloudtopiaa Documentation

Raspberry Pi Documentation

Blynk IoT Platform

This project demonstrates skills in IoT health applications, environmental monitoring, and data visualization — valuable tools for creating a smarter, safer living environment.

#DIYAirQualityMonitor #IndoorAirQuality #TechForHealth #Cloudtopiaa #tec4bizsolutions #RealTimeData #ESP32 #IoTProjects #CO2Sensor #PM25Detection

[catlizaweb]

Web Designing Company in Hyderabad: Your Gateway to Digital Excellence

In the bustling tech hub of Hyderabad, where innovation meets tradition, our Web Designing Company in Hyderabad stands as a beacon of digital excellence. We pride ourselves on crafting visually stunning and functionally superior websites that not only capture attention but also drive results for businesses across industries.

Why Choose Our Web Designing Services in Hyderabad?

At the heart of our success lies a deep understanding of the digital landscape and a commitment to staying ahead of the curve. We blend cutting-edge technology with creative ingenuity to deliver web solutions that are not just beautiful but also powerful tools for business growth.

Expertise That Sets Us Apart

Our team of seasoned professionals brings a wealth of experience to every project. From responsive design to e-commerce solutions, we cover the entire spectrum of web development needs. Our expertise includes:

• Custom Website Design: Tailored to reflect your brand identity and business objectives

• User Experience (UX) Optimization: Ensuring seamless navigation and engagement

• Mobile-First Approach: Crafting websites that perform flawlessly across all devices

• Search Engine Optimization (SEO): Building websites with a strong foundation for online visibility

• Content Management Systems (CMS): Empowering you to manage your content effortlessly

The Process: From Concept to Launch

We believe in a collaborative approach, working closely with our clients to bring their vision to life. Our process is streamlined yet comprehensive, ensuring no detail is overlooked:

1. Discovery: We start by understanding your business, goals, and target audience.

2. Planning: Developing a strategic roadmap for your web project.

3. Design: Creating visually appealing layouts that align with your brand.

4. Development: Building robust, scalable websites using the latest technologies.

5. Testing: Rigorous quality assurance to ensure flawless functionality.

6. Launch: Deploying your website and providing ongoing support.

Leveraging Technology for Success

In the ever-evolving digital landscape, staying current with technology is crucial. We harness the power of the latest web technologies to create websites that are not just current but future-ready:

• HTML5 and CSS3: For creating responsive and interactive web experiences

• JavaScript and Frontend Frameworks: Enhancing user interactivity and performance

• PHP, Python, and Node.js: Powering robust backend solutions

• WordPress, Drupal, and Custom CMS: Offering flexible content management options

E-commerce Excellence

For businesses looking to tap into the booming online retail market, our e-commerce solutions are second to none. We create online stores that are:

• Secure: Implementing robust payment gateways and data protection measures

• Scalable: Designed to grow with your business

• User-Friendly: Offering intuitive navigation and smooth checkout processes

• Integrated: Seamlessly connecting with inventory management and CRM systems

The Impact of Great Web Design on Your Business

A well-designed website is more than just a digital presence; it's a powerful marketing tool. Our web designs are crafted to: • Boost Credibility: Professional design instills trust in your brand

• Increase Conversions: Strategic layouts and call-to-actions drive user engagement

• Enhance Brand Recognition: Consistent visual elements reinforce your brand identity

• Improve Customer Experience: Intuitive design leads to satisfied users and repeat visitors

Local Expertise, Global Standards

While we're proud to call Hyderabad home, our work speaks a global language. We combine our understanding of the local market with international design standards to create websites that resonate with audiences worldwide.

Continuous Support and Growth

Our relationship with clients doesn't end at launch. We offer:

• Maintenance Packages: Keeping your website up-to-date and secure

• Performance Monitoring: Analyzing and optimizing for peak performance

• Training and Support: Empowering you to make the most of your new website

Case Studies: Success Stories from Hyderabad and Beyond

Our portfolio spans various industries, from startups to established enterprises. Here are a few examples of how our web design services have transformed businesses:

1. Tech Startup: Increased user engagement by 150% with an interactive, modern design

2. Local Restaurant: Boosted online reservations by 200% through an intuitive booking system

3. E-learning Platform: Improved course completion rates by 75% with a user-friendly interface

Why Hyderabad is the Perfect Hub for Web Design Innovation

Hyderabad's rich technological ecosystem provides the perfect backdrop for web design innovation. With a blend of skilled professionals, a supportive startup culture, and a forward-thinking approach to technology, the city offers:

• Access to top-tier talent from renowned institutions

• A vibrant tech community fostering knowledge exchange

• Infrastructure that supports digital growth and innovation

Looking Ahead: The Future of Web Design

As we continue to push the boundaries of web design, we're excited about emerging technologies that will shape the future:

• Artificial Intelligence: Personalizing user experiences

• Virtual and Augmented Reality: Creating immersive web environments

• Voice User Interfaces: Developing websites that respond to voice commands

Partner with Us for Digital Success

Choosing the right web designing company in Hyderabad is crucial for your online success. With our blend of creativity, technical expertise, and commitment to excellence, we're ready to take your digital presence to new heights.

Contact us today to start your journey towards a stunning, high-performing website that sets you apart in the digital realm.

[warpedweft]

Thoughts on Development

As an aspiring indie game dev, I've dabbled in many things, and will dabble in many more. I felt inspired to put words to text on my experience in trying to create games.

I'm not sure whether I'm the minority or not on this subject, but I have found that I prefer coding something from the ground up as opposed to using a service that automates parts of it. I've used Unity and RPG Maker off and on in the past, and while many of my favorite games (looking at you, ISaT) are made in RPG Maker, neither seems to have the right feel for me.

I think part of it is the learning curve of the GUI, which in theory should make things easier. I'm sure that for many people it does. Perhaps even the vast majority! But at the end of the day, I've spent so long learning what menu items do what, forgetting where to find certain functionalities, and hunting down tutorials and documentation on buttons and features that I could have really gotten into the meat of something already.

Unity has so much going on (especially for a person who will only ever make 2D games) that if there's any time at all between dev sessions, I find myself forgetting things. None of this is to knock Unity for its mechanical aspects! It's simply my own style and how I interface with the world.

RPG Maker has less of that issue, but more of another issue altogether: its rigidity. If you want to make a turn-based game in the style that the software is built for, you're golden. Want to make a walking sim with no combat, no menus for leveling up, etc? Want to have a skill tree? What about custom status effects with timers and cooldowns? Prepare to don your religious attire and worship the creators of plugins (or forge your own path and learn to code them yourself), because you have to break the system to do things that I expected a bit more flexibility on (All Hail Yanfly our Lord and Savior.) Somehow in spite of this, I've spent more time dev-ing in RPG Maker than anything else at this point. Eventually I think I found a rhythm, and got very invested in those projects.

At this point though, I've been learning various languages for game dev to try and find one that suits my style. I've dipped my toes into Python, Ruby, and even Common Lisp, and each have their own strengths and also things that didn't quite mesh with me. While this process certainly involves reinventing the wheel sometimes, it's fun to really fundamentally understand the mechanical nature of the game being created because I coded it. I'm curious to dabble in more things, as I find learning to be incredibly enjoyable. At the same time, learning forever does not an indie game make, so I will put dabbling on hold for a while so creation can occur.

[kennak]

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[bfxenon]

6 Ways ChatGPT Can Improve Your SEO

Most of the discourse surrounding the impact of artificial intelligence (AI) on SEO has been about content creation. This makes perfect sense. Large language models (LLMs) have fundamentally changed the speed at which businesses and individuals can produce blog posts, marketing copy, social media posts and much more.

I am not the first to provide the caveat that while AI tools can help you speed up your writing process, they can also open up your site to a variety of SEO risks including duplicate content, violations of Google’s E-E-A-T Guidelines, generally robotic copywriting that is devoid of brand voice and personality, and a host of other issues.

AI content generation is certainly something that can help SEOs and businesses in moderation. Google itself has essentially okayed the use of AI, as long as it is with intent to produce “helpful content”. This can be easier said than done.

In this article, I want to highlight some ways that free AI tools like ChatGPT can help SEO’s with all sorts of other tasks, other than creating content. There are a wide range of things that SEOs do everyday that can significantly be sped up or even completely done by free AI tools like ChatGPT. These can range from On-Page SEO optimizations to Technical SEO projects.

Let’s get into it.

1. Create Schema markup

Perhaps the most straightforward way in which tools like ChatGPT can simplify our work as SEOs is by writing schema markup for us. I will keep this section short, as the process in itself is fairly straightforward.

How to Use AI to Create Schema Markup

Write a ChatGPT prompt that describes the schema you want to create, and for which page.

QA the results and run them through a Schema validating tool.

Implement the schema. Submit your URL to Google.

That’s it!

Remember, ChatGPT typically will not visit a URL for you, so you will need to paste the entire text of your page in the prompt.

The response is a block of schema code that you can paste into a validator. Note that the response was not 100% perfect, hence the need to QA. ChatGPT missed the name of the publisher organization. Before dropping this code onto the published page in our CMS, I would change the name of the organization from “Example” to “Moz.”

2. Keyword clustering (sample python code)

Another time-saving SEO task that you can jumpstart with ChatGPT is the semantic grouping and categorization of keywords. This can be done within the user interface (UI) of GPT, or through a python script that utilizes OpenAI’s API.

Using the UI, I have had success grouping around 100 keywords at a time. The output will typically be an indented, bulleted list of all your terms categorized into buckets.

A python script gives you more flexibility to increase your number of max tokens and allow you to work with longer lists of keywords.

Below is an extremely simple python script that prompts OpenAI to come up with categories for a list of keywords.

import openai # Set up OpenAI API key and model ID openai.api_key = "YOUR_API_KEY" model_id = "text-davinci-003" # Define the prompt to use with the OpenAI API prompt = """ classify the following keywords into semantically related groups: apple london banana train car pizza sicily pasta """ # Use OpenAI's API to generate text based on the prompt response = openai.Completion.create( engine=model_id, prompt=prompt, max_tokens=1024, n=1, stop=None, temperature=0.7, ) # Extract the generated text from the response generated_text = response.choices[0].text # Print the generated text to the console print(generated_text)

The output will look like something like this. You can use this output to modify groupings in your keyword tracking tool of choice, such as Moz Pro. If you are familiar with using Pandas, you can turn the generated_text output into a dataframe for an easy CSV export.

Fruits: Apple, Banana Cities: London, Sicily Transportation: Train, Car Food: Pizza, Pasta

3. Generate meta descriptions

ChatGPT is exceedingly good at taking large amounts of text input and summarizing it. What better way for SEOs to utilize AI’s summarization capabilities than generating meta descriptions? Since meta descriptions are inherently summaries of pages, natural language processing (NLP) models do a good job of extracting the main ideas from multiple paragraphs of text and condensing them into one.

When feeding ChatGPT with text to summarize, you can also include a few keywords that you want it to include in its output. This is another instance where you will need outside data from a tool such as Moz Keyword Explorer to help you find focus keywords. Once you have an idea of the main keyword(s) of the page you want to optimize, you can include those in your meta description prompt. That prompt may look something like this:

“

Summarize the following text in 60 words, and include the following keywords: seo, content strategy [full page text]

”

In my experience, however, ChatGPT is not very good at limiting its responses to a certain word or character length. You may get something like this, and need to change or remove a few sentences.

Still, this simple task could potentially have saved you 10–15 minutes of working with a blank page (or CMS field) and given you a starting point for your meta description.

4. Create FAQs (and tag them with schema)

Another task that leverages ChatGPT’s summarization capabilities is the creation of frequently asked questions (FAQs).

Prompt GPT to create FAQs for a section of page copy that you paste into the tool, and AI will generate some sample FAQs for you. The responses it gives tends to be brief, which is ideal for tagging them with FAQ schema.

After you’ve reviewed and edited the FAQ suggestions that ChatGPT provides, circle back to tip #1 and paste them back into ChatGPT to generate FAQ schema that you can add to your page.

5. Topical research

While OpenAI’s free ChatGPT tool does not provide Keyword Volume or other important SEO keyword metrics, it can still be an effective engine for generating content ideas related to a given keyword.

When paired with a tool like Moz Keyword Explorer, the results can be powerful.

Begin the process as you would normally approach keyword research. Identify a list of keywords that you want to include in your page. Then, ask ChatGPT to create topic ideas related to these terms.

I find that prompting the tool for around 50 topics gives you a good sample of page ideas without repetition.

The results are not all going to be perfect titles for you to copy and paste into your CMS without reviewing them, but they can rapidly (and I mean RAPIDLY) give you a sense of direction for your editorial calendar, content marketing strategy or even social media posts. Each of the concepts identified here about SEO, focusing on the specified keywords, has the makings of a well-intentioned blog post topic.

6. SEO content briefs

Once you have done your keyword research and compiled terms that you would like to include into a new page on your website, try asking ChatGPT to use them to create a page outline for you, along with a possible page title.

This can serve as a great jumping-off-point for your editorial team (or you) to work with to write your full article. An outline or content brief for a page about keyword research may look something like this:

As is a recurring theme with the use of AI for SEO, the results are not perfect, but they can generate ideas for you to take and run with. For example, you may realize that this outline does not get into the concepts of Search Volume or Keyword Difficulty, which you wanted to address on your page. You can tweak your prompt to specify a few additional keywords that you’d like to include, or manually edit ChatGPT’s output to suit your needs.

My guess is as good as any regarding the direction AI will steer the digital marketing industry, and more specifically SEO. What I do know is that right now, there are so many ways in which AI can make tedious aspects of my job less time consuming, so I can focus my attention on more strategic and big-picture problems. Hopefully this list helps you do the same.

[herrykochi]

Dealing with missing data in Pandas

Data Pre-processing can be referred as the manipulation of data before it is being used so as to ensure performance and it is a very important step to be done as a Data Scientist. Data Pre-processing can be generally classified as Data cleaning, Data Transformation, and Data Reduction.

The data we get is essentially raw, and can have many irrelevant and missing parts. To handle these parts, Data Cleaning is done. It involves handling of missing data, filtering out noisy data etc.

Data Cleaning and preparation is the most time consuming part of any Data Science project. Thankfully, there are many powerful tools to speedup this process. One of them is Pandas package which is a widely used library in Python for Data Analysis. Handling missing data is an essential part of data cleaning because all the real row data in real life will definitely have missing values.

Standard missing values are represented as np.nan, None and NaT, for datatime64[ns] types, for python. The representation np.nan is float so if we use them in a column that contains integers, they will be converted to floating points datatypes.

To clean up missing values, first we have to recognize them. So, for finding missing data points, pandas provides isnull( ), isna( ) as functions to detect missing values. We can also choose to use notna( ) which ithe just opposite of isna( ). isna( ).any( ) return a Boolean output for each column. If there is atlieast one missing value in that column, the result will be True.

Once we have found out the missing values, we are supposed to clean it up. But, the problem is that not all missing values come in beautiful format of np.nan or None. Sometimes, “?” or “- -” characters come into action while representing the missing data points.

However, these characters cannot be effectively identified by Pandas as missing data. In these situation, we can use replace( ) function in pandas to handle these values.

There is no optimal way to handle missing values. Depending on the characteristics of the data and task at hand, we can opt to either Drop the missing values or to replace missing values.

To drop a row or column with missing values, we can use dropna( ) function. The “how” parameter is set condition to drop: “any” to drop if there is any missing values and “all” to drop if all values are missing.

Data is very valuable that we cannot easily drop the data points on our every whim. Machine learning models tend to perform better with more data for training. So, depending on the situation, we can choose to replace the missing value instead of dropping.

The fillna( ) function in pandas beautifully handles the missing data by replacing them by a special value or aggregate value such as mean or median.

A deep understanding in Data Pre-processing and thereby in Data Cleaning is very important as a Data Scientist and suitable training in the Data Science training in Kerala makes a huge difference. The right kind of training when dealing with the Data is very important as the conversion of raw, real life data to processed data is the key to Data Analysis and such training can be availed by extensive course provided by Data Science training institute in Kochi.

Author:

STEPS

Written by: STEPS

#DATA SCIENCE COURSES IN KOCHI

#DATA SCIENCE TRAINING IN KOCHI

[wu-sisyphus-gang]

Part 1 2

Jaune: I had a chat with Dr. Polendina earlier.

Penny: My father? What about?

Jaune: Your neural network. He was supposed to be the guy who understands consciousness is more than computation. Instead he told me he just guessed and it just sort of worked.

Penny: What does this mean?

Jaune: Well... Are you... Are you okay? Like it'd be one thing if you volunteered for this project. But you sort of got dragged into it and made by somebody who didn't really know what he was doing. And I guess none of us really know what we are doing. But that doesn't make it okay. So... Are you okay with that? Are you alright? Are you in agony?

Penny: I suppose... I don't think so. But I appreciate this concern. I feel that it's coming from an empathetic place.

Jaune: Right. I guess. It's just that your modality of consciousness could be totally different and alien to ours. And that's scary and it makes me worried about you. I just wanted to know if you were really alright and not in unbearable agony of something else horrific.

Penny: Do you understand neural networks and machine learning programs?

Jaune: A little. There were some computer science classes at Beacon I did alright in. And I understand some computational methods and statistics for modeling. And I did alright in physics. I don't have three doctorates like your dad does so maybe I'm shooting the dark and totally misunderstanding.

Penny: I didn't know that about you. Do you know programing languages?

Jaune: Some. C++, R, Matlab, Python, Latex, Bash, Batch and a little bit of a few others.

Penny: Is that a lot?

Jaune: Not really. I'm not very good at most of those and usually experts have two to three more. Do you not know any computer science?

Penny: Well, I... I guess not really. It wasn't what I was made for.

Jaune: But you run on the stuff.

Penny: Well do you understand how your eyes work and brain works?

Jaune: A little. I know a little about neurotransmitters and I know how the eye evolved to take in an image. From an open canvas of light sensitive cells to a pin hole to focus light to a pin hole with a lens. I understand how it received images upside down and flips them. Like I'm no expert but I know a little.

Penny: Oh. I guess maybe I took it for granted that my father knew exactly what he was doing.

Jaune: And... And how do you feel about that?

Penny: I... I don't know. But I'm grateful you came to talk to me. You're a good friend.

[garrykurian]

Data Pre-processing can be referred as the manipulation of data before it is being used so as to ensure performance and it is a very important step to be done as a Data Scientist. Data Pre-processing can be generally classified as Data cleaning, Data Transformation, and Data Reduction.

The data we get is essentially raw, and can have many irrelevant and missing parts. To handle these parts, Data Cleaning is done. It involves handling of missing data, filtering out noisy data etc.

Data Cleaning and preparation is the most time consuming part of any Data Science project. Thankfully, there are many powerful tools to speedup this process. One of them is Pandas package which is a widely used library in Python for Data Analysis. Handling missing data is an essential part of data cleaning because all the real row data in real life will definitely have missing values.

Standard missing values are represented as np.nan, None and NaT, for datatime64[ns] types, for python. The representation np.nan is float so if we use them in a column that contains integers, they will be converted to floating points datatypes.

To clean up missing values, first we have to recognize them. So, for finding missing data points, pandas provides isnull( ), isna( ) as functions to detect missing values. We can also choose to use notna( ) which ithe just opposite of isna( ). isna( ).any( ) return a Boolean output for each column. If there is atlieast one missing value in that column, the result will be True.

Once we have found out the missing values, we are supposed to clean it up. But, the problem is that not all missing values come in beautiful format of np.nan or None. Sometimes, “?” or “- -” characters come into action while representing the missing data points.

However, these characters cannot be effectively identified by Pandas as missing data. In these situation, we can use replace( ) function in pandas to handle these values.

There is no optimal way to handle missing values. Depending on the characteristics of the data and task at hand, we can opt to either Drop the missing values or to replace missing values.

To drop a row or column with missing values, we can use dropna( ) function. The “how” parameter is set condition to drop: “any” to drop if there is any missing values and “all” to drop if all values are missing.

Data is very valuable that we cannot easily drop the data points on our every whim. Machine learning models tend to perform better with more data for training. So, depending on the situation, we can choose to replace the missing value instead of dropping.

The fillna( ) function in pandas beautifully handles the missing data by replacing them by a special value or aggregate value such as mean or median.

A deep understanding in Data Pre-processing and thereby in Data Cleaning is very important as a Data Scientist and suitable training in the Data Science training in Kerala makes a huge difference. The right kind of training when dealing with the Data is very important as the conversion of raw, real life data to processed data is the key to Data Analysis and such training can be availed by extensive course provided by Data Science training institute in Kochi.

Author:

STEPS

Written by: STEPS

#DATA SCIENCE COURSES IN KOCHI

#DATA SCIENCE TRAINING IN KOCHI

Tweet

[clevelandstate]

Film Students and Safe Sets

Written by Lauren Koleszar // The Vindicator

*This story has been edited slightly for length*

Film & Media Arts is one of the most hands-on majors at Cleveland State. It relies on massive collaboration and in-person filming that normally requires between ten and thirty cast and crew members for upperclassmen producing junior- and senior-level professional content. New COVID-19 guidelines require a “Safe Sets” certification, and students have been limited to crews of ten people or less on a set at one time. Camera departments that normally run on four to five students are being managed by two if they’re lucky. Students are choosing to produce scripts that need only a few actors and can be filmed at safe, easily accessible locations. Students are desperately working on pre-production and editing from home; and when on set, they’re filling multiple crew positions to make up for the absence of the much larger number of students who are normally able to work on one set together.

In spite of these challenges, film students at CSU are producing impressive creative content and becoming multi-faceted filmmakers as they take on many new responsibilities that are ultimately shaping them into better equipped professionals who will have a wide range of skills and experience.

We talked to film major Davis Chu, whose freshman year at CSU coincided with the opening of the university’s new film school in the fall of 2018. The initial lockdown hit during Davis’s second sophomore semester, and he took us through his personal experience and observation of the evolution of student filmmaking at CSU over the course of the last year.

LAUREN KOLESZAR: Elevator pitch. Who are you, what do you do and what interests you? DAVIS CHU: Hello there, my name is Davis. I’m a third-year film major, concentration in post-production, with a minor in graphic design. I am also in the Honors college. My passions include: writing, comedy, animation, editing, music, screenwriting, acting, and television. To clarify, when I say “television,” I mean watching it. Although I’m also working on an original pilot for school.

LK: Why are you studying film, and what are some of your favorite films, creatives or influences? DC: I think if life is a circus, then studying film is a trampoline. It may not have the safety net of other more stable fields, but it’s a great launching pad for someone who wants to pursue the arts. 

I’m a film major, but I don’t consume as much film as I do comedy and TV. My comedy influences include the Marx Brothers, Monty Python, Mel Brooks, Larry David, Dave Chappele, Ricky Gervais, Dana Carvey, Marc Maron, Conan O’Brien, John Mulaney, Sarah Silverman, Jon Stewart, Stephen Colbert...

For TV shows: VEEP, Barry, Fleabag, Atlanta, Master of None, Curb Your Enthusiasm, Arrested Development, Succession, Girls, Seinfeld, Game of Thrones, Rick and Morty...

LK: Film is so hands-on, and most classes changed dramatically with the switch to Zoom. Describe the impact of the March 2020 lockdown on your film classes and projects. What kinds of things unique to film students had to change? DC: The period of January to March was a very slow, then exponential realization that the world was falling apart. I was supposed to edit a student short. My assistant editor was my dear friend Alex Maytin. They were yet to shoot, but the production was underway, and Alex and I were preparing to tackle the footage. It was an ambitious project and it honestly seemed monumental. Little did we know that the lockdown would dwarf our problems completely.

When school announced it was going virtual, Alex and I started brainstorming a potential remote workflow. He was gonna merge and organize the footage, mail it on a USB and I would edit. Like, we really thought the production was still happening. Needless to say, it didn’t.

Everyone in the school had to take on their own projects and oversee it from start to finish. People chose to make documentaries, short narrative films, I decided to make a small series of sketches titled Under Quarantine.

LK: What has filmmaking been like in the era of COVID-19? DC: I think the lasting impact on the film industry will be distribution. We were already moving in the direction of streaming services. But I think the presence of COVID-19 has accelerated the process. My prediction is that studios and creatives will probably lean away from film and into miniseries. I don’t really mind that. Storytelling is storytelling, whether it’s a 120-minute movie or a three-episode hour-long miniseries.

LK: How has your personal approach to creating and studying changed over the past year? DC: I’m definitely not alone in saying I’ve grown a lot in the past year. What changed the most is my approach to learning and creating. I’ve come to the conclusion that almost every skill is learnable. If you want to get good at something, all you have to do is take the time to do it. Last semester, I had a lot more time I could dedicate to my schoolwork (just by removing the time it takes to walk to and from class). I made some stuff I was really proud of. I found a love for animation. I think I have more patience for overcoming learning curves now.

LK: What has changed for the better? For the worse? DC: There are a couple super small silver linings if you look close enough. One of them is the accessibility and flexibility of education. For most of the classes I was taking, the transition was rather smooth. If I’m taking an animation class, and we’re all using our computers anyway, why don’t we take advantage of this great technology and just meet virtually?  

LK: How has the transition been for professors and faculty? In what ways have they helped make accommodations for students? DC: The professors have been incredibly accommodating. Earlier this semester, I tested positive for COVID and [it] wiped me out. I emailed all of my teachers and within a day, every one of them responded with empathy and get-well wishes. Through extensions and exemptions, I was able to catch up and now I’m back! It’s also cool that the faculty are conscious enough that not everyone has access to the same level of technology.

LK: Has there been anything you've learned or had the opportunity to experience because of the impact of COVID-19? Personal or film-related? DC: I don’t know how much of this is related to COVID-19 but I have been pretty introspective lately. I’ve been slowly coming to terms with the Asian-American experience and how race has affected me. With this topic in mind, I started writing a TV pilot for my class. I guess that is one of the benefits of being an arts major. Be it COVID-19 or racism or any problem, we have the luxury of being forced to process our emotions. 

LK: Finally, what inspires you and how do you work to overcome the weight of the pandemic on your college and creative experience? DC: I take everything one step at a time. And I try to remember that so long as I’m doing my part to keep other people safe, that’s all that really matters. Control what you can, set a good example for others, and let go of the rest. And creatively, so long as I have access to tools I can use to make stuff, I’m satisfied.

*To read this article in it’s original, full-length format or to check out other great Vindicator content, visit thevindi.com/post/film-students-and-safe-sets.