https://github.com/cybersecurity-dev/awesome-python-programming-language

Awesome Python Programming Language
https://github.com/cybersecurity-dev/awesome-python-programming-language

List: awesome-python-programming-language

Last synced: 4 days ago
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Awesome Python Programming Language

• Host: GitHub
• URL: https://github.com/cybersecurity-dev/awesome-python-programming-language
• Owner: cybersecurity-dev
• License: cc0-1.0
• Created: 2025-07-29T22:02:41.000Z (7 months ago)
• Default Branch: main
• Last Pushed: 2025-12-03T22:46:01.000Z (2 months ago)
• Last Synced: 2026-02-01T16:07:21.922Z (11 days ago)
• Homepage:
• Size: 32.2 KB
• Stars: 1
• Watchers: 0
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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# **`Awesome`** [Python](https://www.python.org/) Programming Language [![Awesome](https://awesome.re/badge.svg)](https://awesome.re)



[![YouTube](https://img.shields.io/badge/YouTube-%23FF0000.svg?style=for-the-badge&logo=YouTube&logoColor=white)]()

[![Reddit](https://img.shields.io/badge/Reddit-FF4500?style=for-the-badge&logo=reddit&logoColor=white)](https://www.reddit.com/r/Python/)



    

     

    

     

    

    



## 📖 Contents

- [My Other Awesome Lists](#my-other-awesome-lists)

- [Contributing](#contributing)

- [Contributors](#contributors)

## Library

### 1. Data Analysis and Manipulation

- [Pandas](https://pandas.pydata.org/)

- [Numpy](https://numpy.org/)

### 2. Data Visualization

- [Matplotlib](https://matplotlib.org/)

- [Plotly](https://plotly.com/python/)

- [Seaborn](https://seaborn.pydata.org/)

### 3. Artificial Intelligence

[![Keras](https://img.shields.io/badge/Keras-D00000?logo=keras&logoColor=fff)](https://keras.io/)[![PyTorch](https://img.shields.io/badge/PyTorch-ee4c2c?logo=pytorch&logoColor=white)](https://pytorch.org/)[![Scikit-learn](https://img.shields.io/badge/-scikit--learn-%23F7931E?logo=scikit-learn&logoColor=white)](https://scikit-learn.org/)[![TensorFlow](https://img.shields.io/badge/TensorFlow-ff8f00?logo=tensorflow&logoColor=white)](https://www.tensorflow.org/)

- [Keras](https://github.com/keras-team/keras) - Deep [Learning](https://keras.io/) for humans

- [PyTorch](https://github.com/pytorch/pytorch) - Tensors and Dynamic [neural networks](https://pytorch.org/) in Python with strong GPU acceleration.

- [Scikit-learn](https://github.com/scikit-learn/scikit-learn) - [Scikit-learn](https://scikit-learn.org/stable/) is an open-source Python library widely used for machine learning.

- [TensorFlow](https://github.com/tensorflow/tensorflow) - An Open Source [Machine Learning Framework](https://www.tensorflow.org/) for Everyone.

- [XGBoost](https://github.com/dmlc/xgboost) - [XGBoost](https://xgboost.readthedocs.io/en/stable/) is an optimized distributed gradient boosting library designed to be highly efficient, flexible and portable.

#### AutoML

- [AutoKeras](https://github.com/keras-team/autokeras) - [AutoKeras](https://autokeras.com/): An AutoML system based on Keras.

- [Auto-PyTorch](https://github.com/automl/Auto-PyTorch) - [Automatic architecture](https://automl.github.io/Auto-PyTorch) search and hyperparameter optimization for PyTorch.

- [Auto-sklearn](https://github.com/automl/auto-sklearn) - [Automated](https://automl.github.io/auto-sklearn/) Machine Learning with scikit-learn.

### 4. GUI Development

- [Flask](https://flask.palletsprojects.com/)

### 4. Miscellaneous

- [Loguru](https://github.com/Delgan/loguru) - Python [logging](https://loguru.readthedocs.io/en/stable/) made (stupidly) simple.

- [Scapy](https://github.com/scrapy/scrapy) - [Scapy](https://www.scrapy.org/) is a powerful interactive packet manipulation library written in Python.

- [SciPy](https://scipy.org/) - Fundamental algorithms for scientific computing in Python

### My Other Awesome Lists

You can access the my other awesome lists [here](https://cyberthreatdefence.com/my_awesome_lists)

### Contributing

[Contributions of any kind welcome, just follow the guidelines](contributing.md)!

### Contributors

[Thanks goes to these contributors](https://github.com/cybersecurity-dev/awesome-python-programming-language/graphs/contributors)!

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