Welcome to my Learning Python repository! This space is dedicated to tracking my journey and progress as I delve deeper into Python, exploring various projects and concepts along the way.

This repository serves multiple purposes:

• Track Progress: Document my learning path and milestones in Python.
• Project Showcase: Host my Python projects, from simple scripts to full-fledged applications.
• Resource Hub: Collect and organize useful resources and references for learning Python.

learning-python/
├── basics/                 # Python fundamentals
├── data-structures/        # Lists, dicts, sets, custom structures
├── algorithms/            # Sorting, searching, graph algorithms
├── oop/                   # Object-oriented programming concepts
├── web-development/       # Flask, Django, FastAPI, web scraping
├── data-science/          # NumPy, Pandas, ML, visualization
├── automation/            # Scripts for task automation
├── projects/              # Complete projects organized by difficulty
├── exercises/             # Practice problems and coding challenges
├── notebooks/             # Jupyter notebooks for experimentation
├── tests/                 # Unit tests and testing examples
├── resources/             # Cheat sheets, documentation links
├── PROGRESS.md            # Learning progress tracker
└── requirements.txt       # Python dependencies

1. Clone the repository:

   git clone <repository-url>
   cd learning-python

2. Set up a virtual environment:

   python -m venv venv
   source venv/bin/activate  # On Windows: venv\Scripts\activate

3. Install dependencies:

   pip install -r requirements.txt

4. Start learning! Begin with the basics/ directory and work your way through the topics.

1. Basics - Variables, control flow, functions
2. Data Structures - Lists, dictionaries, sets
3. OOP Basics - Classes and objects

4. Advanced OOP - Inheritance, polymorphism, design patterns
5. Algorithms - Common algorithms and data structures
6. Web Development - Flask/Django basics
7. Testing - Unit testing and TDD

8. Data Science - NumPy, Pandas, machine learning
9. Automation - Task automation and scripting
10. Advanced Projects - Full-stack applications

Check out PROGRESS.md to track your learning journey and mark completed topics.

This is a personal learning repository, but if you have suggestions for improvements or additional resources, feel free to open an issue or submit a pull request!

• Official Python Documentation: https://docs.python.org/3/
• Python Enhancement Proposals (PEPs): https://peps.python.org/
• Real Python: https://realpython.com/
• Python Package Index (PyPI): https://pypi.org/

This repository is for educational purposes. Feel free to use any code examples for your own learning!

Happy coding! 🐍