Machine Learning Machine Learning Libraries and Frameworks are the most sought-after libraries for Python developers. They are used to develop machine learning algorithms. Here is a list of the Top Python Libraries and Frameworks for Machine Learning: Numpy TensorFlow Keras Scikit-Learn Theano Matplotlib Pandas Scipy PyTorch Seaborn
Web Development Web development is a crucial skill to learn as a Python developer. It is also a skill that is in high demand. These days, there are many libraries and frameworks available and you must have a good grasp of the best of them. Many of the libraries are open source and you can use them to build your own applications. The Top Python Libraries and Frameworks for Web Development are:
Django Web2Py Flask TurboGears Bottle CubicWeb CherryPy Dash Pyramid Falcon
Automation Testing Automation Testing Libraries and Frameworks are some of the most useful libraries and frameworks for Python developers. They help with testing in different ways, including through mocking, testing with mocks, and test-driven development. Some of the best automation libraries and frameworks for Python are listed here.
Splinter Robot Behave PyUnit PyTest
Game Development Game Development libraries and frameworks are important for any developer who wants to build a game from start to finish. Python has a huge library of libraries that can be used for game development. Here are the top Python libraries for game development.
PyGame PyGlet PyOpenGI Arcade Panda3D
Image Processing Image processing is a high-demand field and Python is the perfect language for it. There are a lot of Python libraries and frameworks, which makes it difficult to narrow down. If you need to perform operations such as pixel manipulation, image filtering, and image segmentation, here are the top Python libraries and frameworks for Image Processing.
OpenCV Mahotas SimpleITK Pillow Scikit-image
Web Scraping Web Scraping is a process of taking a web page, extracting the data from it, and storing it either within a document or in a database. There are many ways to do this. It can be through a web crawler or a program that scrapes the data from the page. The most common way is to use a web scraping library. There are many libraries out there that you can use to do this. Here are five of the best Python libraries and frameworks for web scraping.
Requests Beautiful Soup Selenium Lxml Scrap