Wanna Learn Programming (Python, Java, Swift, and C++) for free?

Here are some of the best freely available online tutorials you can learn coding from. A Thread👇

Introduction into all of the core concepts in python. Course developed by @mike_dane
https://t.co/9xZX6YVgvd
Python for beginners - (includes machine learning & web development projects). Course created and developed by Mosh Hamedani:
https://t.co/gN1Lu29PAu
Advanced computer vision using Python. You will learn state of the art computer vision techniques by building five projects with libraries such as OpenCV and Mediapipe. Course created by Murtaza Hassan:
https://t.co/LkCu882EzU
C++ full basic Tutorial series by Cave of Programming (playlist):
https://t.co/6uA6UggCf7
C++ Tutorial From Basic to Advance merged by Extern code originally taken from NewBoston:

https://t.co/ZrwDg0FdRq
Java Course 1:
Java is a general-purpose programming language. Learn how to program in Java in this full tutorial course. This is a complete Java course meant for absolute beginners. Course created by Tech with Tim:
https://t.co/SEEGAALh29
Course 2:
Complete Java tutorial for absolute beginners from Introduction to map interface by @navinreddy20
https://t.co/af8vMAnrsz
Data Structures and Algorithms - Advance Java programming Tutorial - from string methods to making instant messenger app using Java:
https://t.co/7QBLMIUwoI
Swift Programming Tutorial for Beginners (Full Tutorial). Created by CodeWithChris:
https://t.co/g0zn3diasV
Advanced Swift Tricks: Custom Array Extensions created by Brian at Lets Build That App:
https://t.co/bXJ45DKquF
Thank you so much for reading. I keep making threads on multiple disciplines of theoretical and experimental sciences and mathematics providing free resource materials. You can check out my thread on AI and Machine learning here:
https://t.co/D3xOzUVwo5
Also, if you enjoyed this thread, consider subscribing to my weekly newsletter and become a part of my physics community where I provide resources, lectures, notes, journals and videos on physics, mathematics and other sciences every week.
https://t.co/PZhl1fj2Db

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- This repo will help you writing maintainable and scalable HTML documents

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https://t.co/CvvfjSrfCL


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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.