10 libraries for Python developers

Here’s a short list of 10 libraries that every Python developer should know.

  • BeautifulSoup - It’s a Python library that makes it easy to pull out data from HTML or XML files. It works with parsers, providing idiomatic ways for iterating, searching, and modifying the parse tree.

  • Django - It’s a high-level Python web framework that encourages rapid development and clean, pragmatic design. It’s heavyweight, but it takes care of the hassle of web development, and it’s fast, secure, and scalable.

  • Matplotlib - It’s a comprehensive library for creating static, animated, and interactive visualizations in Python. It’s one of the best modules for data visualization to create graphs, bar charts, boxplots, and more.

  • NLTK - The Natural Language Toolkit (NLTK) is a Python package for natural language processing. It provides easy-to-use interfaces to over 50 corpora and lexical resources, and you can use it for any kind of data or text processing.

  • NumPy - It’s fantastic for scientific computing with Python. It allows you to work with powerful n-dimensional arrays and offers comprehensive mathematical functions, random number generators, linear algebra routines, and much more.

  • OpenCV - It’s one of the most powerful libraries for various purposes but mainly focuses on image and video data processing. OpenCV is a library of programming functions mainly aimed at real-time computer vision.

  • Pandas - It’s a fast, flexible, expressive, powerful, and easy-to-use data analysis and manipulation tool built on top of Python. It was designed to make working with structured and time-series data easy and intuitive.

  • Requests - It’s an elegant and simple HTTP library for Python that allows you to send HTTP/1.1 requests extremely easily. There’s no need to manually add query strings to your URLs, or to form-encode your POST data.

  • Tensorflow - It’s an end-to-end platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries, and community resources that lets researchers push the state-of-the-art in machine learning and developers effortlessly build and deploy machine learning-powered applications.

  • PyTorch - It’s another leading module in Python for machine learning and artificial intelligence.

Are there other libraries for Python that you use and love? Share them with us! :point_down: