Python Lambda Function Explained in Hindi | Anonymous Function + Examples (Beginner Friendly)

⬇️ PRACTICE SET - 2: https://drive.google.com/file/d/1qbk1Lo0OU6HOCPKB83qnge65-83vQDGk/view?usp=sharing ----------------------------------------------------------------------------------------------------------------------------------------------------------- Python Lambda Function Explained in Hindi 🔥 | Learn Anonymous Function in Python with real examples. In this video, you’ll master lambda functions (one-line functions) and understand lambda vs regular function, use-cases like sorted(key=...), dictionary lambda, and lambda inside functions. ----------------------------------------------------------------------------------------------------------------------------------------------------------- 📖 CHAPTERS 00:00 - Introduction 00:13 - What is Lambda Function 01:19 - Lambda Function in Practice 02:10 - Lambda vs regular Function 03:35 - Example - 1 (No Arguments) 03:58 - Example - 2 (Basic Usage) 04:18 - Example - 3 (Multiple Arguments) 04:46 - Example - 4 (Conditional Expression) 05:33 - Example - 5 (Inside Function) 06:50 - Example - 6 (Lambda in Dictionary) 07:51 - Example - 7 (Lambda with key) 08:48 - Limitations 09:14 - Practice Set - 2 09:20 - Conclusion 09:35 - Upcoming Video ----------------------------------------------------------------------------------------------------------------------------------------------------------- WHAT THIS VIDEO CONTAINS ✅️ What are Python Function Annotations ✅️ Type hints for parameters and return values ✅️ Difference between annotations and type enforcement ✅️ Understanding __annotations__ ✅️ Why annotations are hints, not runtime checks ✅️ Using typing module (List, Tuple, Dict, etc.) ✅️ Simple and complex annotation examples ✅️ Common beginner mistakes ----------------------------------------------------------------------------------------------------------------------------------------------------------- 📝 PDF: https://github.com/Amar-cmd/Comprehensive-Python-Series/blob/8144d6e00b3cdb5b4e61494059e813ccfdd6c445/Unit%2010/PDF/Video%205.pdf ✅️ 🧑🏻‍💻 CODE: https://github.com/Amar-cmd/Comprehensive-Python-Series/blob/078295954f2723fa64e17cc56ca46d4588188558/Unit%2010/Code/video%2010.5.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] ✅ ----------------------------------------------------------------------------------------------------------------------------------------------------------- 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