General Python Libraries
- NumPy: Numerical computing library that provides support for large, multi-dimensional arrays and matrices, along with a collection of mathematical functions to operate on these arrays.
- Pandas: Data manipulation and analysis library that provides data structures and functions for efficiently handling structured data, such as data frames.
- Matplotlib: Comprehensive plotting library for creating static, animated, and interactive visualizations in Python.
- SciPy: Scientific computing library that builds on top of NumPy, providing additional functionality for tasks such as numerical integration, optimization, interpolation, linear algebra, and more.
- Requests: Elegant and simple HTTP library for sending HTTP requests in Python.
- BeautifulSoup: Library for parsing HTML and XML documents, extracting data, and navigating the parsed tree structure.
Web Development
- Flask: Micro web framework for building web applications in Python with a simple and lightweight design.
- Django: High-level web framework that follows the model-view-controller architectural pattern and includes a robust set of tools and features for web development.
- SQLAlchemy: SQL toolkit and Object-Relational Mapping (ORM) library for Python that provides a set of high-level APIs for interacting with databases.
- Tornado: Asynchronous web framework and networking library that emphasizes speed, scalability, and non-blocking operations.
- Green: Python library for running tests and managing test environments with a focus on simplicity and speed.
- Requestium: Library built on top of Requests that enhances the capabilities of web scraping and automation with features like browser-like behavior and automatic session management.
Data Science and Machine Learning
- Scikit-learn: Machine learning library that provides a wide range of supervised and unsupervised learning algorithms, along with tools for model selection and evaluation.
- TensorFlow: Open-source machine learning framework that enables the construction and deployment of large-scale neural networks for various tasks, including deep learning.
- Keras: High-level neural networks API that runs on top of TensorFlow, providing a user-friendly interface for building and training deep learning models.
- PyTorch: Open-source machine learning framework that supports dynamic computation graphs and is widely used for tasks like deep learning, natural language processing, and computer vision.
- NLTK: Natural Language Toolkit library that provides tools and resources for working with human language data, such as tokenization, stemming, tagging, parsing, and more.
- OpenCV: Computer vision library that offers a comprehensive set of functions and algorithms for tasks like image and video processing, object detection and recognition, and camera calibration.
GUI Development
- Tkinter: Standard Python interface to the Tk GUI toolkit, allowing developers to create graphical user interfaces with widgets and windows.
- PyQt: Python bindings for the Qt application framework, enabling the development of cross-platform desktop applications with rich graphical interfaces.
- PySide: Python bindings for the Qt framework that provide an alternative to PyQt, allowing developers to create Python applications with a Qt-based GUI.
Data Visualization
- Matplotlib: Comprehensive plotting library for creating static, animated, and interactive visualizations in Python.
- Seaborn: Statistical data visualization library that provides a high-level interface for creating informative and visually appealing statistical graphics.
- Plotly: Interactive plotting library that allows for the creation of interactive, web-based visualizations with features like zooming, panning, and hover interactions.
- Bokeh: Python library for creating interactive visualizations and dashboards in web browsers, with a focus on providing high-performance, scalable graphics.
Game Development
- Pygame: Library for building games and multimedia applications with Python, providing functionality for handling graphics, sounds, input devices, and more.
- Arcade: Easy-to-use game development library that simplifies the process of creating 2D games in Python, with built-in support for graphics, physics, and user input.
- Panda3D: 3D game engine and framework that allows developers to create immersive games and simulations with Python, providing a wide range of features and tools.
Automation and Scripting
- Click: Command-line interface (CLI) creation kit that simplifies the process of building command-line applications with Python, providing options, arguments, and other CLI elements.
- PyAutoGUI: Library for GUI automation and keyboard/mouse control, enabling developers to write scripts that automate tasks involving graphical user interfaces.
- Selenium: Web browser automation tool that allows developers to control web browsers programmatically, enabling tasks like automated testing, web scraping, and web application interaction.
- schedule: Library for scheduling Python functions to run at specific times, providing a simple and intuitive interface for managing recurring tasks and timed events.