This repository contains code examples and usage demonstrations of various Python libraries. Each directory represents a different library, and within each directory, you will find code samples and relevant documentation.
- NumPy: The fundamental package for scientific computing with Python.
- Pandas: A powerful data manipulation and analysis library.
- Matplotlib: A plotting library for creating visualizations in Python.
- Scikit-learn: A machine learning library with tools for classification, regression, clustering, and more.
- Requests: A library for making HTTP requests in Python.
- Beautiful Soup: A library for web scraping and parsing HTML and XML documents.
- Django: A high-level Python web framework for building web applications.
- Flask: A lightweight web framework for Python.
- TensorFlow: An open-source machine learning framework.
- PyTorch: An open-source machine learning library for Python.
To run the code samples in this repository, make sure you have Python 3.x installed on your system. You can download Python from the official website: https://www.python.org/downloads/
To clone this repository, use the following command:
git clone https://github.com/gauravdesale8/python_library.git
- Navigate to the directory of the library you wish to explore.
- Open the Python file containing the code example you want to run.
- Execute the Python file using your preferred method (e.g., running
python example.py
in the terminal).
Note: Some libraries may require additional dependencies. Please refer to the respective library's documentation for installation instructions.
Contributions to this repository are welcome! If you would like to add code examples for additional Python libraries or improve existing examples, please follow these steps:
- Fork the repository.
- Create a new branch for your feature:
git checkout -b feature/new-library
- Make your changes and commit them:
git commit -am 'Add code examples for new library'
- Push your changes to your fork:
git push origin feature/new-library
- Open a pull request in this repository, describing your changes and their purpose.
The code in this repository is licensed under the MIT License. You are free to use, modify, and distribute the code for personal or commercial purposes. However, please include the appropriate attribution and a link back to this repository.