Harvard University offers a ton of free online classes.

From Computer Science to Artificial Intelligence.

Here are 5 courses you don't want to miss:

1. Introduction to Computer Science

This is the best course to start with CS.

You'll learn about all the basic concepts and fundamentals of programming to start into tech field.

👉 https://t.co/cPTPFJbBPI
2. Introduction to Game Development

Learn about the development of 2D and 3D interactive games in this hands-on course.

This course will help you to explore the design of games such as Super Mario Bros., Pokémon, Angry Birds, and more.

👉 https://t.co/uSNS8u5hse
3. Web Programming with Python and JavaScript

This course will help you to go deep into the design and programming concepts.

Learn about the implementation of web apps with Python, JavaScript, and SQL using frameworks like Django, React & Bootstrap.

👉 https://t.co/DemRj49O0l
4. Mobile App Development with React Native

Learn about mobile app development.

React Native, a popular framework maintained by Facebook that enables cross-platform native apps using JavaScript without Java or Swift.

👉 https://t.co/4stZkyqVjT
5. Introduction to Artificial Intelligence with Python

Learn to use machine learning in Python in this introductory course on artificial intelligence.

👉 https://t.co/uwoNh5YMXW
That's a wrap!

If you enjoyed this thread:

1. Follow me @hasantoxr for more of these
2. RT the tweet below to share this thread with your audience https://t.co/8QpLdY0n9Z

More from Hasan Toor ✪

The average salary for a Data Scientist is $117,000.

Want to become a Google Certified Data Scientist?

Here are 4 free courses from Google you don't want to miss:

1. Learn Python basics for data analysis

This course is designed to teach you the fundamentals of the Python programming language, especially for the purpose of data analysis.

👉
https://t.co/q8SIIUytbM


2. Introduction to Data Science

This course will give you a comprehensive introduction to Data Science and Analytics Landscape.

👉 https://t.co/QwYX0U0mzY


3. Data Science with Python

This Data Science with Python program provides learners with a complete understanding of data analytics tools & techniques.

This program is an ideal kickstarter for anyone looking to become a data scientist today.

👉 https://t.co/jVlrdbX654


4. Data Science with Python

Getting started with Python can help you gain knowledge on data analysis, visualization, NumPy, SciPy, web scraping, and natural language processing.

This program is an ideal kickstarter to become a data scientist today.

👉 https://t.co/B70J8zD74g
Harvard University is offering free online courses.

No application or fee required.

Here are 10 FREE courses you don't want to miss:

1. Introduction to Computer Science

An introduction to the intellectual enterprises of computer science and the art of programming.

Check here 👇

https://t.co/cPTPFJbBPI


2. Web Programming with Python and JavaScript

This course takes you deeply into the design and implementation of web apps with Python, JavaScript, and SQL using frameworks like Django, React, and Bootstrap.

Check here 👇

https://t.co/DemRj49O0l


3. Introduction to Programming with Scratch

A gentle introduction to programming that prepares you for subsequent courses in coding.

Check here 👇

https://t.co/r0iwWNMlXD


4. Introduction to Programming with Python

An introduction to programming using Python, a popular language for general-purpose programming, data science, web programming, and more.

Check here 👇

https://t.co/4JCHtRSXt6
ChatGPT is a phenomenal AI Tool.

But don't limit yourself to just ChatGPT.

Here're 8 AI-powered tools you should try in 2023:

1. KaiberAI

@KaiberAI helps you generate beautiful videos in minutes.

Transform your ideas into the visual stories of your dreams with this Amazing Tool.

New features:
1. Upload your custom music
2. Prompt Templates
3. Camera Movements:

Check here

https://t.co/ivnDRf628L


2. @tldview TLDV

Best ChatGPT Alternative for meetings.

Make your meetings 10X more productive with this amazing tool.

Try it now:

https://t.co/vOy3sS4QfJ


3. ComposeAI

Use ComposeAI for generating any text using AI.

It’s will help you write better content in seconds.

Try it here:

https://t.co/ksj5aop5ZI


4. Browser AI

Use this AI tool to extract and monitor data from any website.

Train a robot in 2 minutes to do your work.

No coding required.

https://t.co/nNiawtUMyO

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7 GitHub repositories will make you a standout developer from 99% of people:

1. Memphis

An open-source real-time data processing platform.

• Message broker
• Schema Management
• Zero ops
• Cloud-native
• Rapid development
• Significantly lower development time

🔗
https://t.co/w5L2aCM3do


2. The art of command line

Master the command line, in one page.

🔗 https://t.co/uF2RlcUIxb


3. Public APIs

A collective list of free APIs for use in software and web development

🔗 https://t.co/vDRQKBf15V


4. Hover

A collection of CSS3 powered hover effects to be applied to links, buttons, logos, SVG, featured images and so on.

🔗 https://t.co/bIGEEPcMkJ
A thread 🧵on Resources-for-preparation-Of-Placements (Lecture video links)

**Programming Language Used : C++**

- Programming in C++ - (
https://t.co/gTcLJEMzwx)

- TakeUForward - ( https://t.co/udOwgbpG6O )

- CodeHelp - ( https://t.co/iph5urO1Q3 )

- Ayushi Sharma - ( https://t.co/pJUyl8ViF7 )

- COMPETITIVE PROGRAMMING -

**Programming Language Used : JAVA**

- Programming in JAVA - (https://t.co/fUMecrGVwY)

- Data Structure and Algorithams
- Kunal Kushwaha - (https://t.co/Pkvr5ZMcJ7)
- Pepcoding - (https://t.co/yNoYkSTTfv)
- Durga Sir -

- Anuj Bhaiya - (https://t.co/jHFrsvnwCy)

**Programming Language Used : Python**

- Programming in Python - (https://t.co/6zz3S1MpUO)

- DSA in Python - (https://t.co/vQ1EteJGnm)

- DS-ALGO - (https://t.co/KXE7NZf0ZD)

- Tech With Tim -

- Python Engineer - (https://t.co/VmGtEjiBVE)
**Placement Series**

- C++ - (https://t.co/nCnLHi00BK)

- JAVA - (https://t.co/Pkvr5Zu3uZ)

- JAVA - (https://t.co/pScvzpmlYu)

- PYTHON -

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A brief analysis and comparison of the CSS for Twitter's PWA vs Twitter's legacy desktop website. The difference is dramatic and I'll touch on some reasons why.

Legacy site *downloads* ~630 KB CSS per theme and writing direction.

6,769 rules
9,252 selectors
16.7k declarations
3,370 unique declarations
44 media queries
36 unique colors
50 unique background colors
46 unique font sizes
39 unique z-indices

https://t.co/qyl4Bt1i5x


PWA *incrementally generates* ~30 KB CSS that handles all themes and writing directions.

735 rules
740 selectors
757 declarations
730 unique declarations
0 media queries
11 unique colors
32 unique background colors
15 unique font sizes
7 unique z-indices

https://t.co/w7oNG5KUkJ


The legacy site's CSS is what happens when hundreds of people directly write CSS over many years. Specificity wars, redundancy, a house of cards that can't be fixed. The result is extremely inefficient and error-prone styling that punishes users and developers.

The PWA's CSS is generated on-demand by a JS framework that manages styles and outputs "atomic CSS". The framework can enforce strict constraints and perform optimisations, which is why the CSS is so much smaller and safer. Style conflicts and unbounded CSS growth are avoided.