learn oops in python VS 100-Days-Of-ML-Code

10. Trekhleb/Learn-python - This extensive repository teaches Python through coding practice and can be utilized by developers of any skill level. It covers a wide range of Python functions and best practices for writing efficient code. https://github.com/trekhleb/learn-python

This is a reference for learning python on Github. I did not read this it's only for future reference. I'm assuming the documentation will be easier to navigate, but I'll save it nonetheless. https://github.com/trekhleb/learn-python

I'm not taking CS 1110, but I have credit for the class and taught myself how to program using Python in 2019. Try learnpython.org. Look at the sections that you don't fully understand and do some practice/tinkering around with code. You can also check out this git repo (https://github.com/trekhleb/learn-python) and use it as a reference or, if you download/clone the repo, you can play around with the code. If you prefer videos, try searching 'Python for Beginners' on Youtube; you will undoubtedly find several playlists or complete Python tutorial videos. Just remember though, don't let this class discourage you from programming, and try writing some code yourself (outside of class requirements).

View on GitHub

14, Playground and Cheatsheet for Learning Python

5. Avik-Jain/100-Days-Of-ML-Code - As the name implies, this repository offers a structured approach to learning machine learning with Python. It covers core ML principles and algorithms through real-world applications. https://github.com/Avik-Jain/100-Days-Of-ML-Code

2) 100 Days of ML Code: Embark on a 100-day journey into the fascinating world of machine learning with this structured curriculum. Packed with bite-sized coding challenges and real-world projects, this repository will transform you from a coding novice to a confident ML enthusiast. (https://github.com/Avik-Jain/100-Days-Of-ML-Code)

1️⃣ 100 Days Of ML Code

ML: 100-Days-Of-ML-Code