🐍 Learn Python Repository

A comprehensive Python learning journey from basics to advanced concepts with hands-on examples and exercises

🎯 Overview

This repository documents my complete Python learning journey, covering everything from fundamental programming concepts to advanced object-oriented programming and numerical computing with NumPy. Perfect for beginners and intermediate learners looking for practical examples and exercises.

📚 What You'll Learn

🔤 Python Basics

• Variables, data types, and operators
• Control structures (if/else, loops)
• Functions and scope
• Error handling and debugging
• File operations and I/O

🏗️ Object-Oriented Programming

• Classes and objects fundamentals
• Inheritance and method overriding
• Polymorphism and duck typing
• Encapsulation and data hiding
• Abstraction with abstract classes
• Multiple inheritance and MRO
• Special methods (__str__, __init__, etc.)

🔢 NumPy Essentials

• Array creation and manipulation
• Mathematical operations
• Broadcasting and vectorization
• Array indexing and slicing
• Statistical functions

🚀 Quick Start

Prerequisites

• Python 3.7 or higher
• pip package manager

Installation

# Clone the repository
git clone https://github.com/fatin-israq/learn-py.git
cd learn-py

# Install required packages
pip3 install numpy jupyter

# For Jupyter notebooks
jupyter notebook

Running Examples

# Run Python scripts
python3 01-Python-Basics/variables_and_datatypes.py

# Open Jupyter notebooks
jupyter notebook 05-Object-Oriented-Programming/8.1-Classes-and-Objects.ipynb

🎓 Learning Path

1. Start Here: 01-Python-Basics/ - Master the fundamentals
2. Level Up: 05-Object-Oriented-Programming/ - Dive into OOP concepts
3. Go Numerical: NumPy-Examples/ - Explore scientific computing

💡 Key Features

• ✅ Hands-on Examples - Practical code you can run immediately
• ✅ Interactive Notebooks - Jupyter notebooks for better learning experience
• ✅ Progressive Difficulty - From beginner to intermediate concepts
• ✅ Real-world Applications - Examples based on common programming scenarios
• ✅ Best Practices - Clean, well-documented code following Python conventions

🔧 Technologies Used

Technology	Purpose
	Core programming language
	Numerical computing
	Interactive notebooks

🤝 Contributing

Feel free to contribute by:

• Adding new examples
• Improving existing code
• Fixing bugs or typos
• Suggesting better explanations

📞 Contact

If you have questions or suggestions, feel free to reach out!

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⭐ Star this repo if you find it helpful for your Python learning journey!

Happy Coding! 🚀