Python Recursion Explained in Hindi | Recursion in Python (Beginner Friendly) + Practice Set 2

⬇️ PRACTICE SET - 3: https://drive.google.com/file/d/15BcJnOYD3s-VaN9eqJNnVjt6axauOw5w/view?usp=sharing ----------------------------------------------------------------------------------------------------------------------------------------------------------- 📝 PDF: https://github.com/Amar-cmd/Comprehensive-Python-Series/blob/e2d1f6b82199a0d192e9e23b9df3babae85da94b/Unit%2010/PDF/Video%207.pdf ✅️ 🧑🏻‍💻 CODE: https://github.com/Amar-cmd/Comprehensive-Python-Series/blob/259cee40923cf14ec16016f2d77f781a060e0abe/Unit%2010/Code/video%2010.7.py ✅️ 🚀GITHUB: https://github.com/Amar-cmd/Comprehensive-Python-Series ✅ 💬 GITHUB DISCUSSION: https://github.com/Amar-cmd/Comprehensive-Python-Series/discussions ✅ 🎭 DISCORD: https://discord.com/invite/RtgtvQXpMP ✅ 📧 EMAIL: [email protected] ✅ ----------------------------------------------------------------------------------------------------------------------------------------------------------- Python Recursion Explained in Hindi In this video you’ll learn recursion in Python from scratch (beginner friendly) with clear visualization of the call stack, base case, recursive case, and classic examples like factorial and fibonacci. ----------------------------------------------------------------------------------------------------------------------------------------------------------- What You’ll Learn (Recursion) ✅ What is recursion in Python ✅ Components: base case + recursive call ✅ Recursion visualized (call stack) ✅ Factorial & Fibonacci using recursion ✅ When to use / when NOT to use recursion ✅ Common recursion mistakes ✅ Recursion vs Iteration (best choice) ----------------------------------------------------------------------------------------------------------------------------------------------------------- 📖 CHAPTERS 00:00 - Introduction 00:16 - What is Recursion? 00:41 - Components of Recursion 01:52 - Recursion Visualized! 03:31 - Example - 1 (Factorial Function) 05:05 - Example - 2 (Fibonacci Sequence) 06:58 - When to use Recursion? 07:29 - When NOT to use Recursion? 08:10 - Mistakes to avoid 08:54 - Iteration over Recursion 09:39 - Practice Set - 3 09:53 - Conclusion 10:08 - Upcoming Video ----------------------------------------------------------------------------------------------------------------------------------------------------------- WHY CHOOSE THIS COURSE? - MASTER PYTHON by practicing 500+ questions and 20+ hands-on projects in HINDI. - This is a HIGH-QUALITY course for made available for FREE. ----------------------------------------------------------------------------------------------------------------------------------------------------------- WHAT YOU WILL LEARN: ✅ Learn to code in python professionally ✅ Learn basic topics like strings, loops, control statements and more ✅ Learn advanced topics like modules, file handling, multi-threading and more ✅ Learn Object Oriented Programming (OOP) ✅ Learn Data Structures and Algorithms in Python Language (DSA) ✅ Learn Image Manipulation ✅ Learn Machine Learning - Scikit Learn ✅ Build Machine Learning Models ✅ Learn Functional Programming ✅ Learn to use Jupyter Notebook and use .py files ✅ Use python to process files: Image, CSVs, PDFs and more ----------------------------------------------------------------------------------------------------------------------------------------------------------- THIS COURSE INCLUDES: ✅ 30+ Hours of content ✅ 500+ coding questions ✅ 20+ Hands-on Projects ✅ 200+ quizzes ✅ Data Analysis and Machine Learning Projects ----------------------------------------------------------------------------------------------------------------------------------------------------------- 🌟COURSE CONTENT: 1. Python Setup 2. Python Introduction 3. Python Basics 4. Python Control Statements 5. Python Functions 6. Python Strings 7. Python Arrays 8. Python Lists 9. Python Tuples 10. Python Sets 11. Python Dictionaries 12. Python Modules 13. Python File Handling 14. OOP 15. Python Error and Exception 16. Python Multithreading 17. Python Image Manipulation 18. Python Data Structures 19. Python Algorithms 20. Python For ML and Data Analysis ----------------------------------------------------------------------------------------------------------------------------------------------------------- 🌟 REQUIREMENTS: - Access to computer with active internet connection - Willingness to learn #Python #PythonHindi #Recursion #DSA #CodingInHindi