Top 25 Python libraries

Here are some of the most popular Python libraries, organized by category:

1. NumPy - a library for the Python programming language, adding support for large, multi-dimensional arrays and matrices, along with a large collection of high-level mathematical functions to operate on these arrays.
2. pandas - a library providing fast, flexible, and expressive data structures designed to make working with "relational" or "labeled" data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real world data analysis in Python.
3. Matplotlib - a plotting library for the Python programming language and its numerical mathematics extension NumPy. It provides an object-oriented API for embedding plots into applications using general-purpose GUI toolkits like Tkinter, wxPython, Qt, or GTK.
4. TensorFlow - an open-source software library for dataflow and differentiable programming across a range of tasks. It is a symbolic math library, and is also used for machine learning applications such as neural networks.
5. scikit-learn - a library for the Python programming language that implements a range of machine learning, pre-processing, cross-validation and visualization algorithms using a unified interface.
6. PyTorch - an open source machine learning library based on the Torch library. It is used for applications such as natural language processing.
7. OpenCV - a library of programming functions mainly aimed at real-time computer vision.
8. Seaborn - a library for making statistical graphics in Python. It is built on top of Matplotlib and closely integrated with the data structures from pandas.
9. Keras - a user-friendly neural network library written in Python. It is capable of running on top of TensorFlow, Microsoft Cognitive Toolkit or Theano.
10. NLTK - a leading platform for building Python programs to work with human language data.
11. Pygame - a set of Python modules designed for writing video games.
12. Flask - a micro web framework written in Python. It is classified as a microframework because it does not require particular tools or libraries.
13. Beautiful Soup - a Python package for parsing HTML and XML documents. It creates parse trees from XML or HTML that is helpful to extract the data easily.
14. Requests - a simple HTTP library for Python, built for human beings.
15. Django - a high-level Python web framework that enables rapid development of secure and maintainable websites.
16. PyQt - a set of Python bindings for the Qt application framework and runs on all platforms supported by Qt including Windows, OS X, Linux, iOS, and Android.
17. NetworkX - a Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks.
18. Pygal - a Python SVG Charts Creator, which helps to create a variety of charts.
19. Pyglet - a cross-platform windowing and multimedia library for Python.
20. Scrapy - an open-source and collaborative web crawling framework for Python.
21. PyAutoGUI - a Python module for automating GUI interactions to aid in the automation of testing or other repetitive tasks.
22. PySerial - a library for serial communication in Python.
23. Pytest - a library for testing Python code.
24. PyYAML - a YAML parser and emitter for Python.
25. SymPy - a Python library for symbolic mathematics.

Top 25 Python libraries