Web development resources for free

Mega Thread 🧵 👇🏻

1️⃣ Online learning platforms 📘

- Udemy
- FreeCodeCamp
- Treehouse
- Frontend masters
- Coursera
- Traversy media
- SoloLearn
- Codecademy
- Udacity
- Alison
- Code college
- LinkedIn Learning
- Skillshare
- EdX

2️⃣ Editors and share code snippets ✍🏻

- PlayCode
- JSFiddle
- CodePen
- StackBlitz
- JSBin
- Codesandbox
- Codeinterview .io
- godbolt .org
- wandbox .org
- carbon .now.sh
- pastebin .com
- ideone .com
- ide .judge0.com

3️⃣ Documentations and notes 📄

- w3 schools
- mdn
- Devdocs
- geeksforgeeks
- tutorialspoint
- javapoint

4️⃣ Competitive programming 👩‍💻

- CodeChef
- HackerEarth
- HackerRank
- AlgoExpert
- LeetCode
- TopCoder
- Codewars
- Codeforces
- Coderbyte
- Exercism

Practice and improve your HTML, CSS and JavaScript skills by building these 50 projects.

A thread 🧵

1. Expanding Cards
2. Progress Steps
3. Rotating Navigation
4. Hidden Search
5. Blurry Loading
6. Scroll Animation
7. Split Landing Page
8. Form Wave Animation
9. Sound Board
10. Dad Jokes App

11. Event KeyCodes
12. FAQ Collapse
13. Random Choice Picker
14. Animated Navigation
15. Incrementing Counter
16. Drink Water
17. Movie App
18. Background Slider
19. Theme Clock
20. Button Ripple Effect

21. Drag N Drop
22. Drawing App
23. Kinetic Loader
24. Content Placeholder
25. Sticky Navigation
26. Double Vertical Slider
27. Toast Notification
28. Github Profiles
29. Double Click Heart
30. Auto Text Effect

31. Password Generator
32. Good Cheap Fast
33. Notes App
34. Animated Countdown
35. Image Carousel
36. Hoverboard
37. Pokedex
38. Mobile Tab Navigation
39. Password Strength Background
40. 3D Boxes Background

You are looking to get into Machine Learning? You most certainly can
Because I believe that if an above-average student like me was able to do it, you all certainly can as well

Here's how I went from knowing nothing about programming to someone working in Data Science👇

The path that I took wasn't the most optimal way to get a good grip on Machine Learning because...

when I started out, I knew nobody that worked or had knowledge of Data Science which made me try all sorts of different things that were not actually necessary.

I studied C programming as my first language during my freshman year in college. And before the start of my second year, I started learning python just because I knew C is not the way to go.
I learned it out of curiosity and I had no idea about Machine Learning at this point.

I did not learn python by courses but by books. I'll link all the resources at the end.
The approach I took was just to make the same kind of programs I made in C but just replacing the syntax with that of python and practised those.
Already knowing a language made it easier.

For Machine Learning, the first thing that I did was to join Andrew NG's course which really hit it off for me
I didn't have to have any idea about Machine Learning for the course. I completed that in almost a month and it gave me a good intuition of things and the flow of ML.

Learn for Free.

1. HTML ➩ https://t.co/jzoRx6AZil
2. CSS ➩ https://t.co/MCQl9wASvZ
3. Git ➩ https://t.co/80tP825Er5
5. JavaScript ➩ https://t.co/rrDhUN6xYN
6. React ➩ https://t.co/yHTPKtePur
7. Interview ➩ https://t.co/4F2nkAZEkL

Crack a Job.

𝐆𝐢𝐭𝐇𝐮𝐛 serves more than 73,000,000 developers.

These repositories are so priceless 🤯 , better than some courses out there ✨

Here are 10 repositories that you don't wanna miss.

Thread🧵👇🏻

🞖 Clean code JavaScript 🞖

This repository takes the concepts of clean code by Mr. Robert C. Martin and adapts them for JavaScript so you can use them in future

🞖 Free-for. dev 🞖

This repository consists of a list of software(Saas, Paas, Iaas, etc.) and other offerings that have free tiers for

🞖 Tech Interview Handbook. 🞖

This repository can be used by anybody who wants to land a job at a tech company but is new to technical

🞖 JavaScript-Algorithms 🞖

This repository contains JavaScript-based examples of many popular algorithms and data