Libraries
In this article, we provide a list of libraries that are grouped into categories based on the field of application, or type of usage.
Data science libraries
Data science libraries in Python offer a wide range of tools and functionalities for handling, analyzing, and visualizing data. These libraries are essential for tasks such as data manipulation, statistical analysis, machine learning, and data visualization.
Image processing libraries
Image processing libraries are used for image manipulation, analysis, and computer vision.
Database libraries
The following Python libraries provide convenient interfaces for interacting with various types of databases.
Server libraries
These libraries provide functionality for handling network connections, routing requests, handling concurrency, and more.
Web Automation libraries
Web automation is used to automate browser actions, interact with web pages, and perform tasks such as web scraping and testing.
GUI libraries
These libraries are used to create desktop applications with graphical interfaces.
Others
These libraries are generally used across different categories based on the requirement.