Courses & Lectures * Harvard CS50P – Basics → advanced apps * Michigan: Python for Everybody – Data/APIs focus * freeCodeCamp- 12-hr YouTube crash course * MIT OpenCourseWare – CS w/ Python
Interactive Practice * Codecademy (Free Tier) – Hands-on syntax drills
* Kaggle Micro-Courses – Python + data science (real datasets)
* Exercism/Practice Python – 100+ coding challenges
Books & Notes * Automate the Boring Stuff – Practical projects (free online)
* Real Python Tutorials – Deep dives w/ examples
* Official Python Docs – Best reference (beginners: « Tutorial »)
Bonus Tools * PyCharm Edu – IDE w/ built-in courses
* PythonTutor – Visualize code execution
Pro Tip: Stick to ONE resource for 2 weeks before jumping. Consistency > variety!
*Please comment & Share with your Family & Friends ✅
submitted by /u/IAmPriteshBhoi to r/Python
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