creativepuru/python-advanced

🌟 This repository is a treasure trove of Advanced Python 🐍 techniques, tips, and tricks 🤓 to level up your programming skills.

📚 Table of Contents

🔰 ABOUT

💻 GETTING STARTED

🔰 DESCRIPTION

📣 CONTRIBUTIONS 🤝

📲 SOCIAL LINKS 💻

📖 LICENSE

💡 SURPRISE

👉🏻 BUY ME COFFEE ☕

ABOUT

• ✨ Welcome to the Python-Advanced repository, your ultimate resource for taking your Python skills to the next level! 💪🚀

• ✨ Here, you'll find a curated collection of advanced Python concepts, techniques, and best practices that will empower you to become a true Python ninja. 🐱‍👤🔥

• 🤓 Delve into the fascinating world of Python's advanced topics, such as object-oriented programming (OOP), functional programming (FP), and more.

• 🎯🔬 Explore powerful design patterns, master the art of writing efficient algorithms, and unlock the secrets of Python's magic methods. ✨💡

Getting Started

• To get started, you'll need to have Python installed on your computer. You can download the latest version of Python from the official website: https://www.python.org/downloads/
• You'll also need to have Jupyter installed. You can install it using pip using below commands :

pip install jupyter

• Once you have Python and Jupyter installed, you can clone this repository:

git clone https://github.com/creativepuru/Python-Advanced.git

• Then, navigate to the directory where the repository was cloned and start Jupyter by using below commands :

cd <Python-Advanced>
jupyter notebook

• This will open the Jupyter notebook interface in your default web browser. From here, you can navigate to the notebooks directory and open any of the notebooks to view the code examples.

Description

The notebooks in this repository cover the following topics:

• Functions - Part 1
• Functions - Part 2
• Generator Functions - 1
• Generator Functions - 2
• Lambda Functions
• Map, Reduce & Filter Functions
• OOPS (Object Oriented Programming)
• Polymorphism
• Encapsulation
• Inheritance
• Abstraction
• Decorators
• Class Methods
• File input/output
• Exception Handling
• Numpy Library
• Pandas Library
• Many more Libraries....

Each notebook contains code examples and explanations of the concepts being covered. I encourage you to experiment with the code and modify it to see what happens 🤓

Feedback & Contributions

If you have any suggestions for improving the code or adding new notebooks, feel free to submit a pull request. We welcome contributions from the community.

• Fork the project
• Create a new branch (git checkout -b feature/awesome-feature)
• Make your changes and commit them (git commit -am 'Add an awesome feature')
• Push to the branch (git push origin feature/awesome-feature)
• Create a pull request

Social Links

Let's learn and grow together

• 🤖 We believe that the future belongs to those who master these skills, and we're excited to be a part of your journey.
• 💪 Feel free to connect with me on LinkedIn and never miss out on these valuable resources! 🚀
• 🌟 Let's embark on this exciting journey of mastering DSA with Python!

Happy coding! 🚀💻

License

My Python Advanced is licensed under the Creative Commons Zero v1.0 Universal License.

• See LICENSE for more information.

SURPRISE

📚 Visit My Previous Repository 👉🏻 Python Basics to excel the basics of Python !

SUPPORT MY WORK

❤️ Thank you for visiting my repository, and happy exploring 🤗