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DOWNLOAD (STRING METHODS) PRACTICE SET: https://drive.google.com/file/d/1HIUm... 📖 CHAPTERS 00:00 - Intro & Table of contents 00:30 - 1. Case Conversion (lower, upper, capitalize, title, swapcase) 02:46 - 2. Searching & Checking (find, startswith, endswith, replace, rfind, index, rindex) 07:42 - 3. Splitting & Joining (split, rsplit, partition, splitlines, join) 12:38 - 4. String Validation (isalnum, isalpha, isdigit, isspace, islower, isupper, istitle) 15:56 - 5. String Formatting (strip, lstrip, rstrip, center, ljust, rjust, format, count) 22:22 - Summary Table 23:18 - Practice Set (String Methods) 23:48 - Conclusion 24:01 - Upcoming... ----------------------------------------------------------------------------------------------------------------------------------------------------------- 📝 PDF: https://github.com/Amar-cmd/Comprehen... ✅ 🧑🏻💻 CODE: https://github.com/Amar-cmd/Comprehen... ✅ 🚀GITHUB: https://github.com/Amar-cmd/Comprehen... ✅ 💬 GITHUB DISCUSSION: https://github.com/Amar-cmd/Comprehen... ✅ 🎭 DISCORD: / discord ✅ 📧 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 ----------------------------------------------------------------------------------------------------------------------------------------------------------- 🏷️ TAGS: In this video, we dive deep into the world of Python string manipulation. Whether you're a beginner or looking to polish your skills, you'll find this guide invaluable. We cover everything from transforming text to advanced validation and formatting techniques. What You'll Learn: 1. Case Conversion: Master methods like lower, upper, capitalize, title, and swapcase to effortlessly change the case of your strings. 2. Searching & Checking: Learn how to efficiently search within strings using methods such as find, startswith, endswith, replace, rfind, index, and rindex. 3. Splitting & Joining: Discover how to break down and reconstruct strings with methods like split, rsplit, partition, splitlines, and join. 4. String Validation: Ensure your data is in the right format using validation methods like isalnum, isalpha, isdigit, isspace, islower, isupper, and istitle. 5. String Formatting: Enhance your output with formatting techniques using strip, lstrip, rstrip, center, ljust, rjust, format, and count. Plus, don't miss our Summary Table at the end of the video, where we recap all these powerful string methods for quick reference!