Are you getting into Python? It\u2019s a jungle!
You have libraries just about anything you can think about – from creating games to building web applications.<\/p>\n\n\n\n
With this list, get a quick idea of 50 standard Python libraries and what they do whether you\u2019re just getting started or looking to deepen your Python game.<\/p>\n\n\n\n
Taipy has been designed to expedite application development, from initial prototypes to production-ready applications.
This open-source Python library is designed for easy development for both front-end (GUI) and ML\/Data pipelines.
It is low code and designed for any pythonista.<\/p>\n\n\n\n
Star \u2b50 the Taipy repository<\/a><\/p>\n\n\n\n Your support means a lot\ud83c\udf31, and helps us in many ways, like writing articles! \ud83d\ude4f<\/p>\n\n\n\n Essential for numerical computations, supporting large, multi-dimensional arrays and matrices. This library is part of Python royalty.<\/p>\n\n\n\n Star \u2b50 the Numpy repository<\/a><\/p>\n\n\n\n A cornerstone for data manipulation and analysis, offering intuitive data structures and operations for manipulating numerical tables and time series. Another Python indispensable library, a must-know library.<\/p>\n\n\n\n Star \u2b50 the Pandas repository<\/a><\/p>\n\n\n\n A versatile tool for creating a wide range of static, minimal, and interactive visualizations. A lot of parameters to play with, this library is very useful when plotting ML and AI graphs.<\/p>\n\n\n\n Star \u2b50 the Matplotlib repository<\/a><\/p>\n\n\n\n Specialized in technical and scientific computing, with Scipy you can do optimization, integration, interpolation, and more.<\/p>\n\n\n\n Star \u2b50 the SciPy repository<\/a><\/p>\n\n\n\n A go-to library for machine learning, providing a wide range of supervised and unsupervised learning algorithms. The only library you should know when starting with Machine Learning.<\/p>\n\n\n\n Star \u2b50 the Scikit-learn repository<\/a><\/p>\n\n\n\n A comprehensive framework for machine learning offers various tools, libraries, and community resources. THe learning curve might be a little steep, but TF is important to know in the Python and ML landscape.<\/p>\n\n\n\n Star \u2b50 the TensorFlow repository<\/a><\/p>\n\n\n\n Favored for both academic research and production due to its flexibility, offering dynamic neural network creation and manipulation.<\/p>\n\n\n\n Star \u2b50 the PyTorch repository<\/a><\/p>\n\n\n\n A high-level API for building and training deep learning models, designed to facilitate building and working with neural networks.<\/p>\n\n\n\n Star \u2b50 the Keras repository<\/a><\/p>\n\n\n\n Simplifies the process of making HTTP requests, making web scraping and API consumption more accessible.<\/p>\n\n\n\n Star \u2b50 the Requests repository<\/a><\/p>\n\n\n\n A tool for web scraping that facilitates data extraction from HTML and XML files.<\/p>\n\n\n\n Star \u2b50 the Beautiful Soup repository<\/a><\/p>\n\n\n\n A lightweight and extensible web framework, making it ideal for building small to medium web applications.<\/p>\n\n\n\n Star \u2b50 the Flask repository<\/a><\/p>\n\n\n\n Designed for rapid development and clean, pragmatic design, this high-level framework.<\/p>\n\n\n\n Star \u2b50 the Django repository<\/a><\/p>\n\n\n\n This library automates web browsers, enabling the simulation of actual user actions for testing web applications.<\/p>\n\n\n\n Star \u2b50 the Selenium repository<\/a><\/p>\n\n\n\n Provides Python modules for writing video games, including graphical and sound libraries.<\/p>\n\n\n\n Star \u2b50 the Pygame repository<\/a><\/p>\n\n\n\n Extends Python Imaging Library capabilities, supporting various image file formats.<\/p>\n\n\n\n Star \u2b50 the Pillow repository<\/a><\/p>\n\n\n\n This library offers a full suite of tools for working with databases through Python, providing a robust ORM layer and SQL expression language.<\/p>\n\n\n\n Star \u2b50 the SQLAlchemy repository<\/a><\/p>\n\n\n\n As you can tell from the name, this library brings the power of Apache Spark to Python, facilitating big data processing and analysis with a Pythonic approach.<\/p>\n\n\n\n Star \u2b50 the PySpark repository<\/a><\/p>\n\n\n\n Enables the creation of analytical web applications directly in Python without requiring deep knowledge of web development.<\/p>\n\n\n\n Star \u2b50 the Dash repository<\/a><\/p>\n\n\n\n Specializes in creating interactive and visually appealing graphs and charts suitable for web and mobile applications.<\/p>\n\n\n\n Star \u2b50 the Plotly repository<\/a><\/p>\n\n\n\n This library makes natural language processing accessible and easy to use.<\/p>\n\n\n\n Star \u2b50 the Nltk repository<\/a><\/p>\n\n\n\n Offers industrial-strength natural language processing capabilities with pre-trained models for many languages.<\/p>\n\n\n\n Star \u2b50 the SpaCy repository<\/a><\/p>\n\n\n\n Focused on unsupervised topic modeling and natural language processing, you can use this library to analyze document similarity.<\/p>\n\n\n\n Star \u2b50 the Gensim repository<\/a><\/p>\n\n\n\n A robust framework for writing small to complex functional tests, enhancing test readability and maintainability.<\/p>\n\n\n\n Star \u2b50 the PyTest repository<\/a><\/p>\n\n\n\n The built-in framework for constructing and running tests mirroring the xUnit architecture found in other languages.<\/p>\n\n\n\n Unitest is built-in.<\/p>\n\n\n\n Simplifies SSH for application deployment or system administration tasks, automating remote shell commands.<\/p>\n\n\n\n Star \u2b50 the Fabric repository<\/a><\/p>\n\n\n\n Aimed at animated data visualizations and storytelling, Vizzu is the go-to library to create dynamic and interactive charts.<\/p>\n\n\n\n Star \u2b50 the Vizzu repository<\/a><\/p>\n\n\n\n A DataFrame library optimized for performance and efficiency, capable of easily handling large datasets.<\/p>\n\n\n\n Star \u2b50 the Polars repository<\/a><\/p>\n\n\n\n Provides Pythonic access to the Docker Remote API, enabling automation of Docker container management.<\/p>\n\n\n\n Star \u2b50 the Docker-Py repository<\/a><\/p>\n\n\n\n A staple in computer vision and image processing, offering a comprehensive suite of algorithms and tools.<\/p>\n\n\n\n Star \u2b50 the OpenCV repository<\/a><\/p>\n\n\n\n Dedicated to image processing, it extends the capabilities of SciPy and NumPy to the visual landscape.<\/p>\n\n\n\n Star \u2b50 the Scikit-image repository<\/a><\/p>\n\n\n\n This library is made for your symbolic computation, offering features ranging from algebraic solving to calculus.<\/p>\n\n\n\n Star \u2b50 the SymPy repository<\/a><\/p>\n\n\n\n Essential for creating isolated Python environments and managing project dependencies cleanly.<\/p>\n\n\n\n Star \u2b50 the Virtualenv repository<\/a><\/p>\n\n\n\n Streamlines the creation of command-line interfaces, promoting code that is both composable and easy to extend.<\/p>\n\n\n\n Star \u2b50 the Click repository<\/a><\/p>\n\n\n\n Facilitates the parsing of command-line arguments, which is essential for CLI application development.<\/p>\n\n\n\n Argparse is built-in.<\/p>\n\n\n\n Offers a flexible logging system, from simple logging to complex per-module configurations.<\/p>\n\n\n\n Logging is built-in.<\/p>\n\n\n\n Handles YAML files, supporting serialization and deserialization of Python objects to and from YAML.<\/p>\n\n\n\n Star \u2b50 the PyYAML repository<\/a><\/p>\n\n\n\n Ideal for reading and writing Excel files, bridging the gap between Python and Excel documents.<\/p>\n\n\n\n Star \u2b50 the xlrd repository<\/a> Generates comprehensive profile reports from pandas<\/p>\n\n\n\n Star \u2b50 the Pandas-Profiling repository<\/a><\/p>\n\n\n\n Tqdm is a wrapper to any loop that will track the advancement with a progress bar.<\/p>\n\n\n\n Star \u2b50 the TQDM repository<\/a><\/p>\n\n\n\n Need fake data that looks real? Faker’s got your back.<\/p>\n\n\n\n Star \u2b50 the Faker repository<\/a><\/p>\n\n\n\n A must-need library to keep your code cleaner with easily to implement style checks.<\/p>\n\n\n\n Star \u2b50 the Flake8 repository<\/a><\/p>\n\n\n\n Bring your code formatting to the next level.<\/p>\n\n\n\n Star \u2b50 the Black repository<\/a><\/p>\n\n\n\n It’s like having a grammar teacher for your code but for types.<\/p>\n\n\n\n Star \u2b50 the Mypy repository<\/a><\/p>\n\n\n\n The library you need to validate your Python scripts.<\/p>\n\n\n\n Star \u2b50 the Pydantic repository<\/a><\/p>\n\n\n\n FastAPI is a web framework for building RESTful APIs.<\/p>\n\n\n\n Star \u2b50 the FastAPI repository<\/a><\/p>\n\n\n\n Gives your machine-learning models ways to handle categorical data.<\/p>\n\n\n\n Star \u2b50 the Catboost repository<\/a><\/p>\n\n\n\n Making elevated data visualization.<\/p>\n\n\n\n Star \u2b50 the Seaborn repository<\/a><\/p>\n\n\n\n Brings programming to life with cool graphics and animations. A great way to learn and get started with Python.<\/p>\n\n\n\n Turtle is built-in.<\/p>\n\n\n\n
\n\n\n\n<\/a>2. NumPy<\/strong><\/h2>\n\n\n\n
\n\n\n\n<\/a>3. Pandas<\/strong><\/h2>\n\n\n\n
\n\n\n\n<\/a>4. Matplotlib<\/strong><\/h2>\n\n\n\n
\n\n\n\n<\/a>5. SciPy<\/strong><\/h2>\n\n\n\n
\n\n\n\n<\/a>6. Scikit-learn<\/strong><\/h2>\n\n\n\n
\n\n\n\n<\/a>7. TensorFlow<\/strong><\/h2>\n\n\n\n
\n\n\n\n<\/a>8. PyTorch<\/strong><\/h2>\n\n\n\n
\n\n\n\n<\/a>9. Keras<\/strong><\/h2>\n\n\n\n
\n\n\n\n<\/a>10. Requests<\/strong><\/h2>\n\n\n\n
\n\n\n\n<\/a>11. Beautiful Soup<\/strong><\/h2>\n\n\n\n
\n\n\n\n<\/a>12. Flask<\/strong><\/h2>\n\n\n\n
\n\n\n\n<\/a>13. Django<\/strong><\/h2>\n\n\n\n
\n\n\n\n<\/a>14. Selenium<\/strong><\/h2>\n\n\n\n
\n\n\n\n<\/a>15. Pygame<\/strong><\/h2>\n\n\n\n
\n\n\n\n<\/a>16. Pillow (PIL Fork)<\/strong><\/h2>\n\n\n\n
\n\n\n\n<\/a>17. SQLAlchemy<\/strong><\/h2>\n\n\n\n
\n\n\n\n<\/a>18. PySpark<\/strong><\/h2>\n\n\n\n
\n\n\n\n<\/a>19. Dash<\/strong><\/h2>\n\n\n\n
\n\n\n\n<\/a>20. Plotly<\/strong><\/h2>\n\n\n\n
\n\n\n\n<\/a>21. Nltk<\/strong><\/h2>\n\n\n\n
\n\n\n\n<\/a>22. SpaCy<\/strong><\/h2>\n\n\n\n
\n\n\n\n<\/a>23. Gensim<\/strong><\/h2>\n\n\n\n
\n\n\n\n<\/a>24. PyTest<\/strong><\/h2>\n\n\n\n
\n\n\n\n<\/a>25. unittest<\/strong><\/h2>\n\n\n\n
\n\n\n\n<\/a>26. Fabric<\/strong><\/h2>\n\n\n\n
\n\n\n\n<\/a>27. Vizzu<\/strong><\/h2>\n\n\n\n
\n\n\n\n<\/a>28. Polars<\/strong><\/h2>\n\n\n\n
\n\n\n\n<\/a>29. Docker-Py<\/strong><\/h2>\n\n\n\n
\n\n\n\n<\/a>30. OpenCV<\/strong><\/h2>\n\n\n\n
\n\n\n\n<\/a>31. Scikit-image<\/strong><\/h2>\n\n\n\n
\n\n\n\n<\/a>32. SymPy<\/strong><\/h2>\n\n\n\n
\n\n\n\n<\/a>33. Virtualenv<\/strong><\/h2>\n\n\n\n
\n\n\n\n<\/a>34. Click<\/strong><\/h2>\n\n\n\n
\n\n\n\n<\/a>35. Argparse<\/strong><\/h2>\n\n\n\n
\n\n\n\n<\/a>36. Logging<\/strong><\/h2>\n\n\n\n
\n\n\n\n<\/a>37. PyYAML<\/strong><\/h2>\n\n\n\n
\n\n\n\n<\/a>38. xlrd\/xlwt<\/strong><\/h2>\n\n\n\n
Star \u2b50 the xlwt repository<\/a><\/p>\n\n\n\n
\n\n\n\n<\/a>39. Pandas-Profiling<\/strong><\/h2>\n\n\n\n
\n\n\n\n<\/a>40. TQDM<\/strong><\/h2>\n\n\n\n
\n\n\n\n<\/a>41. Faker<\/strong><\/h2>\n\n\n\n
\n\n\n\n<\/a>42. Flake8<\/strong><\/h2>\n\n\n\n
\n\n\n\n<\/a>43. Black<\/strong><\/h2>\n\n\n\n
\n\n\n\n<\/a>44. Mypy<\/strong><\/h2>\n\n\n\n
\n\n\n\n<\/a>45. Pydantic<\/strong><\/h2>\n\n\n\n
\n\n\n\n<\/a>46. FastAPI<\/strong><\/h2>\n\n\n\n
\n\n\n\n<\/a>47. Catboost<\/strong><\/h2>\n\n\n\n
\n\n\n\n<\/a>48. Seaborn<\/strong><\/h2>\n\n\n\n
\n\n\n\n<\/a>49. Turtle<\/strong><\/h2>\n\n\n\n
\n\n\n\n<\/a>50.