Python Mastery Roadmap

🎯 Master Python from Basics to Advanced Concepts

Welcome to the Python Mastery Roadmap repository! This project provides a structured learning path for Python, covering everything from fundamental concepts to advanced programming topics. Whether you're a beginner or refining your skills, this roadmap will guide you every step of the way. 🚀

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📂 Repository Structure

The repository is organized into directories based on topics, each containing Python scripts to help you learn effectively.

1. Basics

• 01. Getting familiar with Python.py
• 02. Variables and Data Types.py
• 03. Operators.py
• 04. Strings.py
• 05. If-elif-else.py
• 06. Match Case.py
• 07. For Loop.py
• 08. While Loops.py
• 09. Break and Continue.py
• 10. Functions.py

2. Data Structures

• 11. List.py
• 12. Tuple.py
• 13. Set.py
• 14. Dictionary.py

3. Error Handling

• 15. Exception Handling.py
• 16. Customized Errors.py

4. Modules and File Handling

• 17. Import.py
• 18. File Operations.py
• 19. Map.py

5. Object-Oriented Programming

• 20. OOP.py
• 21. Constructor.py
• 22. Decorators.py
• 23. Getters and Setters.py
• 24. Inheritance.py
• 25. Access Specifiers or Access Modifiers.py
• 26. Static Method.py
• 27. Class Method.py
• 28. Magic- Dunder Method.py
• 29. Overriding.py
• 30. Single Inheritance.py
• 31. Multiple Inheritance.py
• 32. Multilevel Inheritance.py
• 33. Hybrid Inheritance.py
• 34. Hierarchical Inheritance.py

6. Time Module

• 35. Time Module.py

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✨ Features

• Structured Learning Path: Topics arranged systematically for gradual skill-building.
• Hands-On Code Examples: Each file contains practical examples and exercises.
• Focus on Fundamentals: Strong emphasis on understanding Python's core concepts.
• Advanced Concepts: Learn advanced programming paradigms like OOP, decorators, and inheritance.

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🚀 Getting Started

Step 1: Clone the Repository

git clone https://github.com/SaurabhSSB/Python-Mastery-Roadmap.git

Step 2: Navigate Through the Topics

Explore the folders to find the topic you're learning. Open the .py file in your code editor or IDE.

Step 3: Run and Experiment

Run the scripts using Python 3.x. Modify the examples to test your understanding.

📖 Prerequisites

Python 3.x installed on your system. A code editor or IDE like VSCode, PyCharm, or Jupyter Notebook.

🤝 Contributing

I always welcome contributions!

Fix errors or typos. Add new examples or topics. Submit a pull request.

🛠️ License

This repository is licensed under the MIT License. Feel free to use it for learning or teaching purposes.

📧 Contact

For any queries or suggestions, feel free to reach out: Email: [[email protected]] GitHub: https://github.com/SaurabhSSB