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1 |
| -# Advance-Python-Basics-Programming |
2 |
| -Python programming basics cover advanced concepts such as lambda functions, map functions, list comprehensions, and object-oriented programming. These concepts allow for more efficient and powerful coding techniques, enabling developers to write concise and expressive code for complex operations. |
| 1 | +# Advanced Python Programming Basics 🚀 |
| 2 | + |
| 3 | +<p align="center"> |
| 4 | + <img src="https://media.geeksforgeeks.org/wp-content/cdn-uploads/20210917204112/Top-10-Advance-Python-Concepts-That-You-Must-Know.png" alt="Advance Python Programming Basics"> |
| 5 | +</p> |
| 6 | + |
| 7 | +<h1 align="center">Welcome to the Advanced Python Programming Repository! 🐍</h1> |
| 8 | + |
| 9 | +<p align="center"> |
| 10 | +Explore the depths of Python programming with our comprehensive repository, designed to take your skills from proficient to advanced. Whether you're a seasoned developer or just getting started, this repository covers a diverse range of advanced Python topics. |
| 11 | +</p> |
| 12 | + |
| 13 | +## Overview 🌐 |
| 14 | +This repository delves into the intricacies of Python, covering advanced programming concepts, best practices, and hands-on examples. From object-oriented programming (OOP) to decorators and context managers, we've got your journey into advanced Python covered. |
| 15 | + |
| 16 | +## Project Highlights 🌟 |
| 17 | +- **Object-Oriented Mastery:** Deepen your understanding of object-oriented programming in Python. Learn to create and use classes, inheritance, and polymorphism to write clean and modular code. |
| 18 | + |
| 19 | +- **Functional Programming:** Explore the functional programming paradigm in Python. Understand higher-order functions, lambda expressions, and how to leverage the power of functional programming. |
| 20 | + |
| 21 | +- **Decorators and Context Managers:** Demystify the magic behind decorators and context managers. Write efficient and elegant code using these advanced Python features. |
| 22 | + |
| 23 | +## Getting Started 🚀 |
| 24 | +Follow these steps to embark on your advanced Python programming journey: |
| 25 | + |
| 26 | +1. **Clone the Repository:** |
| 27 | + ```bash |
| 28 | + git clone https://github.com/kunalarya873/Advance-Python-Basics-Programming.git |
| 29 | + ``` |
| 30 | + |
| 31 | +2. **Explore the Code:** |
| 32 | + - Navigate through the codebase and explore the Python scripts and Jupyter notebooks. |
| 33 | + - Start with the `01_oop_basics.py` script to reinforce your understanding of object-oriented programming. |
| 34 | + |
| 35 | +3. **Run the Examples:** |
| 36 | + - Execute the code snippets and examples to see how advanced Python concepts work in action. |
| 37 | + |
| 38 | +## Project Structure 📁 |
| 39 | +- `scripts/`: Python scripts covering various advanced Python topics. |
| 40 | +- `notebooks/`: Jupyter notebooks providing in-depth explanations and interactive examples. |
| 41 | + |
| 42 | +## Topics Covered 📘 |
| 43 | +- **Object-Oriented Programming (OOP):** Classes, inheritance, polymorphism, and encapsulation. |
| 44 | +- **Functional Programming:** Higher-order functions, lambda expressions, and functional programming paradigms. |
| 45 | +- **Decorators and Context Managers:** Explore and implement decorators and context managers for cleaner code. |
| 46 | + |
| 47 | +## Contributing 🤝 |
| 48 | +Contributions are welcome! If you have suggestions, improvements, or additional advanced Python topics to cover, feel free to open an issue or submit a pull request. |
| 49 | + |
| 50 | +## Feedback 📧 |
| 51 | +Your feedback matters! If you have questions, suggestions, or just want to share your insights, reach out to us. Let's build a strong community of advanced Python enthusiasts. |
| 52 | + |
| 53 | +[](https://github.com/kunalarya873) |
| 54 | + |
| 55 | +Happy coding! 🐍🚀 |
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