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🐍 PythonKit

Welcome to PythonKit! This repository is your personal toolkit for mastering the fundamentals of Python, with a future-forward look towards Machine Learning. πŸš€

This collection of Jupyter Notebooks (.ipynb) is designed to provide clear, hands-on examples for core Python concepts. Whether you're a beginner just starting your coding journey or a developer looking for a quick refresher, you'll find valuable resources here.

πŸ“š Table of Contents

This repository is organized into several key topics, each with its own dedicated notebook for focused learning.

# Topic Notebook File Description
1 Python Basics py2.ipynb An introduction to the fundamental syntax and concepts of Python.
2 Data Types datatype.ipynb A deep dive into the various data types available in Python.
3 Numbers numbers.ipynb Exploring integers, floats, and the operations you can perform with them.
4 Strings string.ipynb A comprehensive guide to string manipulation and methods.

πŸš€ Getting Started

To get started with these notebooks, you'll need to have Python and Jupyter Notebook installed on your machine.

  1. Clone the repository:

    git clone [https://github.com/PranjalTheCoder/PythonKit.git](https://github.com/PranjalTheCoder/PythonKit.git)
  2. Navigate to the directory:

    cd PythonKit
  3. Launch Jupyter Notebook:

    jupyter notebook

This will open a new tab in your web browser, where you can navigate to and open any of the .ipynb files to start learning!

🀝 Contributing

Contributions are what make the open-source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.

If you have suggestions for improving the existing notebooks or want to add new ones, please feel free to fork the repository and create a pull request.

  1. Fork the Project
  2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
  3. Commit your Changes (git commit -m 'Add some AmazingFeature')
  4. Push to the Branch (git push origin feature/AmazingFeature)
  5. Open a Pull Request

πŸ“„ License

This project is distributed under the MIT License. See the LICENSE file for more information.


Happy Coding!

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Python meets Machine Learning πŸš€

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