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Directories (folders) are used to organize files. In real projects, you must create folders, check if a directory exists, list files inside a directory, and safely delete folders. This video covers complete Python directory handling step-by-step.
✅ What you’ll learn in this video
✔ Check if a directory exists using os.path.exists()
✔ Relative path vs Absolute path (important for real projects)
✔ Create a directory using os.mkdir()
✔ Create nested directories using os.makedirs()
✔ List directory contents using os.listdir()
✔ Remove an empty directory using os.rmdir()
✔ Remove a non-empty directory using shutil.rmtree() (⚠️ dangerous)
✔ Get current working directory using os.getcwd()
✔ Change working directory using os.chdir()
⚠️ Safety Notes (Must Watch)
• os.rmdir() removes only EMPTY folders
• shutil.rmtree() deletes the folder AND everything inside permanently (use carefully)
• Always verify the path before deleting a directory
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Timeline
00:00 - Introduction
00:15 - Working with Directory
01:27 - Checking File Existence
02:10 - Creating New Directory
04:07 - Listing Directory Contents
04:54 - Removing Directory
06:33 - How to get/change working Directory
07:50 - Conclusion
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📕PDF: https://github.com/Amar-cmd/Comprehen... ✅
🧑💻 CODE: https://github.com/Amar-cmd/Comprehen... ✅
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🎭 DISCORD: / discord ✅
📧 EMAIL: [email protected] ✅
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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.
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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
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THIS COURSE INCLUDES:
✅ 30+ Hours of content
✅ 500+ coding questions
✅ 20+ Hands-on Projects
✅ 200+ quizzes
✅ Data Analysis and Machine Learning Projects
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🌟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
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🌟 REQUIREMENTS:
Access to computer with active internet connection
Willingness to learn
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