Python File Handling Roadmap | Unit 12 | Python For Beginners (Hindi)
Welcome to Unit 12 — Python File Handling (Roadmap)!
In real-world programming, your data is often stored in files: txt, csv, json, logs, etc.
In this video, you’ll learn the complete roadmap of File Handling, so you know exactly what you’ll study in this unit and in what order.
✅ WHAT YOU WILL LEARN IN THIS UNIT (FILE HANDLING)
What is File Handling & why it’s important
File modes: r, w, a, x, rb, wb
Reading files: read(), readline(), readlines()
Writing & appending: write(), writelines()
with open() (context manager) — best practice
File pointer: tell() and seek()
Working with text vs binary files
Handling common file errors (missing file, permission, etc.)
Mini programs: notes app / log writer / data save-load style programs
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📕PDF: 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] ✅
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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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