Message25 Github Repositories Every Python Developer Should Know

25 Github Repositories Every Python Developer Should Know 1. Python The official repository of Python's source code. Dive into it to explore Python's internals or contribute to the language's development. 2. Awesome Python A curated list of awesome Python frameworks, libraries, software, and resources. A perfect starting point for any Python developer. 3. Requests Simplifies HTTP requests in Python. A must-have library for working with APIs and web scraping. 4. Flask A lightweight web framework that is simple to use yet highly flexible, ideal for small to medium-sized applications. 5. Django A high-level web framework that encourages rapid development and clean, pragmatic design for building robust web applications. 6. FastAPI A modern web framework for building APIs with Python. Known for its speed and automatic OpenAPI documentation. 7. Pandas Provides powerful tools for data manipulation and analysis, including support for data frames. 8. NumPy The go-to library for numerical computations. It’s the backbone of Python’s scientific computing stack. 9. Matplotlib A plotting library for creating static, animated, and interactive visualizations in Python. 10. Seaborn Builds on Matplotlib and simplifies creating beautiful and informative statistical graphics. 11. Scikit-learn A machine learning library featuring various classification, regression, and clustering algorithms. 12. TensorFlow A powerful framework for machine learning and deep learning, supported by Google. 13. PyTorch Another leading machine learning framework, known for its flexibility and dynamic computation graph. 14. BeautifulSoup Simplifies web scraping by parsing HTML and XML documents. 15. Scrapy An advanced web scraping and web crawling framework. 16. Streamlit Makes it easy to build and share data apps using pure Python. Great for data scientists. 17. Celery A distributed task queue library for running asynchronous jobs. 18. SQLAlchemy A powerful ORM (Object-Relational Mapping) tool for managing database operations in Python. 19. Pytest A robust testing framework for writing simple and scalable test cases. 20. Black An uncompromising code formatter for Python. Makes your code consistent and clean. 21. Bokeh For creating interactive visualizations in modern web browsers. 22. Plotly Another library for creating interactive visualizations but with more customization options. 23. OpenCV The go-to library for computer vision tasks like image processing and object detection. 24. Pillow A friendly fork of PIL (Python Imaging Library), used for image processing tasks. 25. Rich A Python library for beautiful terminal outputs with rich text, progress bars, and more. Claim your Free $5 Bonus Here: https://bit.ly/3wUxw09 LinkedIn profile 👇 https://www.linkedin.com/in/subarno-roy-3b2251374 Join our WhatsApp Channel 👇 https://whatsapp.com/channel/0029VbAi27y0lwghBe9mE42i WhatsApp Community Link 👇 https://chat.whatsapp.com/G8wPqAwwm1qHo1AdM8YPkM 1️⃣ Big Data 📎 Channel Link: [ https://t.me/bigdataofficial ] --- 2️⃣ Machine Learning 📎 Channel Link: [ https://t.me/machinelearningofficial ] --- 3️⃣ Cloud Computing 📎 Channel Link: [ https://t.me/cloudcomputing_official ] --- 4️⃣ Python 📎 Channel Link: [ https://t.me/python_programming_resources ] Share with your College Whatsapp Groups & Friends too All the best 👍👍