Python libraries you need to know in 2024
Tags: python, opensource, programming, list
Published: 2024-03-12 13:46:51

## TL;DR
Are you getting into Python?  It’s a jungle! 
You have libraries just about anything you can think about - from creating games to building web applications. 

With this list, get a quick idea of 50 standard Python libraries and what they do whether you’re just getting started or looking to deepen your Python game.

![Intro](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/at6swte9i2adqyeni03w.gif)

<hr/>

## 1. **Taipy** 
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.

![Lisan](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/scksaelbdhxsyzkv0bdq.png)

{% cta https://github.com/Avaiga/taipy %} Star ⭐ the Taipy repository {% endcta %}

Your support means a lot🌱, and helps us in many ways, like writing articles! 🙏

<hr/>

## 2. **NumPy**
Essential for numerical computations, supporting large, multi-dimensional arrays and matrices. This library is part of Python royalty.

{% cta https://github.com/numpy/numpy %} Star ⭐ the Numpy repository {% endcta %}

<hr/>

## 3. **Pandas** 
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.

{% cta https://github.com/pandas-dev/pandas %} Star ⭐ the Pandas repository {% endcta %}

<hr/>

## 4. **Matplotlib**
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.

{% cta https://github.com/matplotlib/matplotlib %} Star ⭐ the Matplotlib repository {% endcta %}

<hr/>

## 5. **SciPy** 
Specialized in technical and scientific computing, with Scipy you can do optimization, integration, interpolation, and more.

{% cta https://github.com/scipy/scipy %} Star ⭐ the SciPy repository {% endcta %}

<hr/>

## 6. **Scikit-learn**
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.

{% cta https://github.com/scikit-learn/scikit-learn %} Star ⭐ the Scikit-learn repository {% endcta %}

<hr/>

## 7. **TensorFlow** 
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.

{% cta https://github.com/tensorflow/tensorflow %} Star ⭐ the TensorFlow repository {% endcta %}

<hr/>

## 8. **PyTorch** 
Favored for both academic research and production due to its flexibility, offering dynamic neural network creation and manipulation.

{% cta https://github.com/pytorch/pytorch %} Star ⭐ the PyTorch repository {% endcta %}

<hr/>

## 9. **Keras**
A high-level API for building and training deep learning models, designed to facilitate building and working with neural networks.

{% cta https://github.com/keras-team/keras %} Star ⭐ the Keras repository {% endcta %}

<hr/>

## 10. **Requests**
Simplifies the process of making HTTP requests, making web scraping and API consumption more accessible.

{% cta https://github.com/psf/requests %} Star ⭐ the Requests repository {% endcta %}

<hr/>

## 11. **Beautiful Soup**
A tool for web scraping that facilitates data extraction from HTML and XML files.

{% cta https://github.com/waylan/beautifulsoup %} Star ⭐ the Beautiful Soup repository {% endcta %}

<hr/>

## 12. **Flask**
A lightweight and extensible web framework, making it ideal for building small to medium web applications.

{% cta https://github.com/pallets/flask %} Star ⭐ the Flask repository {% endcta %}

<hr/>

## 13. **Django**
Designed for rapid development and clean, pragmatic design, this high-level framework.

{% cta https://github.com/django/django %} Star ⭐ the Django repository {% endcta %}

<hr/>

## 14. **Selenium**
This library automates web browsers, enabling the simulation of actual user actions for testing web applications.

{% cta https://github.com/SeleniumHQ/selenium %} Star ⭐ the Selenium repository {% endcta %}

<hr/>

## 15. **Pygame** 
Provides Python modules for writing video games, including graphical and sound libraries.

{% cta https://github.com/pygame/pygame %} Star ⭐ the Pygame repository {% endcta %}

<hr/>

## 16. **Pillow (PIL Fork)** 
Extends Python Imaging Library capabilities, supporting various image file formats.

{% cta https://github.com/python-pillow/Pillow %} Star ⭐ the Pillow repository {% endcta %}

<hr/>

## 17. **SQLAlchemy**
This library offers a full suite of tools for working with databases through Python, providing a robust ORM layer and SQL expression language.

{% cta https://github.com/sqlalchemy/sqlalchemy %} Star ⭐ the SQLAlchemy repository {% endcta %}

<hr/>

## 18. **PySpark** 
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.

{% cta https://github.com/apache/spark %} Star ⭐ the PySpark repository {% endcta %}

<hr/>

## 19. **Dash** 
Enables the creation of analytical web applications directly in Python without requiring deep knowledge of web development.

{% cta https://github.com/plotly/dash %} Star ⭐ the Dash repository {% endcta %}

<hr/>

## 20. **Plotly** 
Specializes in creating interactive and visually appealing graphs and charts suitable for web and mobile applications.

{% cta https://github.com/plotly/plotly.py %} Star ⭐ the Plotly repository {% endcta %}

<hr/>

## 21. **Nltk**
This library makes natural language processing accessible and easy to use.

{% cta https://github.com/nltk/nltk %} Star ⭐ the Nltk repository {% endcta %}

<hr/>

## 22. **SpaCy** 
Offers industrial-strength natural language processing capabilities with pre-trained models for many languages.

{% cta https://github.com/explosion/spaCy %} Star ⭐ the SpaCy repository {% endcta %}

<hr/>

## 23. **Gensim**
Focused on unsupervised topic modeling and natural language processing, you can use this library to analyze document similarity.

{% cta https://github.com/RaRe-Technologies/gensim %} Star ⭐ the Gensim repository {% endcta %}

<hr/>

## 24. **PyTest**
A robust framework for writing small to complex functional tests, enhancing test readability and maintainability.

{% cta https://github.com/pytest-dev/pytest %} Star ⭐ the PyTest repository {% endcta %}

<hr/>

## 25. **unittest**
The built-in framework for constructing and running tests mirroring the xUnit architecture found in other languages.

Unitest is built-in.

<hr/>

## 26. **Fabric**
Simplifies SSH for application deployment or system administration tasks, automating remote shell commands.

{% cta https://github.com/fabric/fabric %} Star ⭐ the Fabric repository {% endcta %}

<hr/>

## 27. **Vizzu**
Aimed at animated data visualizations and storytelling, Vizzu is the go-to library to create dynamic and interactive charts.

{% cta https://github.com/vizzuhq/vizzu-lib %} Star ⭐ the Vizzu repository {% endcta %}

<hr/>

## 28. **Polars**
A DataFrame library optimized for performance and efficiency, capable of easily handling large datasets.

{% cta https://github.com/pola-rs/polars %} Star ⭐ the Polars repository {% endcta %}

<hr/>

## 29. **Docker-Py**
Provides Pythonic access to the Docker Remote API, enabling automation of Docker container management.

{% cta https://github.com/docker/docker-py %} Star ⭐ the Docker-Py repository {% endcta %}

<hr/>

## 30. **OpenCV**
A staple in computer vision and image processing, offering a comprehensive suite of algorithms and tools.

{% cta https://github.com/opencv/opencv %} Star ⭐ the OpenCV repository {% endcta %}

<hr/>

## 31. **Scikit-image** 
Dedicated to image processing, it extends the capabilities of SciPy and NumPy to the visual landscape.

{% cta https://github.com/scikit-image/scikit-image %} Star ⭐ the Scikit-image repository {% endcta %}

<hr/>

## 32. **SymPy**
This library is made for your symbolic computation, offering features ranging from algebraic solving to calculus.

{% cta https://github.com/sympy/sympy %} Star ⭐ the SymPy repository {% endcta %}

<hr/>

## 33. **Virtualenv**
Essential for creating isolated Python environments and managing project dependencies cleanly.

{% cta https://github.com/pypa/virtualenv %} Star ⭐ the Virtualenv repository {% endcta %}

<hr/>

## 34. **Click**
Streamlines the creation of command-line interfaces, promoting code that is both composable and easy to extend.

{% cta https://github.com/pallets/click %} Star ⭐ the Click repository {% endcta %}

<hr/>

## 35. **Argparse**
Facilitates the parsing of command-line arguments, which is essential for CLI application development.

Argparse is built-in.

<hr/>

## 36. **Logging** 
Offers a flexible logging system, from simple logging to complex per-module configurations.

Logging is built-in.

<hr/>

## 37. **PyYAML**
Handles YAML files, supporting serialization and deserialization of Python objects to and from YAML.

{% cta https://github.com/yaml/pyyaml %} Star ⭐ the PyYAML repository {% endcta %}

<hr/>

## 38. **xlrd/xlwt**
Ideal for reading and writing Excel files, bridging the gap between Python and Excel documents.

{% cta https://github.com/python-excel/xlrd %} Star ⭐ the xlrd repository {% endcta %}
{% cta https://github.com/python-excel/xlwt %} Star ⭐ the xlwt repository {% endcta %}

<hr/>

## 39. **Pandas-Profiling** 
Generates comprehensive profile reports from pandas

{% cta https://github.com/pandas-profiling/pandas-profiling %} Star ⭐ the Pandas-Profiling repository {% endcta %}

<hr/>

## 40.  **TQDM** 
Tqdm is a wrapper to any loop that will track the advancement with a progress bar.

{% cta https://github.com/tqdm/tqdm %} Star ⭐ the TQDM repository {% endcta %}

<hr/>

## 41. **Faker** 
Need fake data that looks real? Faker's got your back.

{% cta https://github.com/joke2k/faker %} Star ⭐ the Faker repository {% endcta %}

<hr/>

## 42. **Flake8** 
A must-need library to keep your code cleaner with easily to implement style checks.

{% cta https://github.com/PyCQA/flake8 %} Star ⭐ the Flake8 repository {% endcta %}

<hr/>

## 43. **Black**
Bring your code formatting to the next level.

{% cta https://github.com/psf/black %} Star ⭐ the Black repository {% endcta %}

<hr/>

## 44.  **Mypy**
It's like having a grammar teacher for your code but for types.

{% cta https://github.com/python/mypy %} Star ⭐ the Mypy repository {% endcta %}

<hr/>

## 45. **Pydantic**
The library you need to validate your Python scripts.

{% cta https://github.com/samuelcolvin/pydantic %} Star ⭐ the Pydantic repository {% endcta %}

<hr/>

## 46.  **FastAPI**
FastAPI is a web framework for building RESTful APIs.

{% cta https://github.com/tiangolo/fastapi %} Star ⭐ the FastAPI repository {% endcta %}

<hr/>

## 47. **Catboost** 
Gives your machine-learning models ways to handle categorical data.

{% cta https://github.com/catboost/catboost %} Star ⭐ the Catboost repository {% endcta %}

<hr/>

## 48.  **Seaborn**
Making elevated data visualization.

{% cta https://github.com/mwaskom/seaborn %} Star ⭐ the Seaborn repository {% endcta %}

<hr/>

## 49. **Turtle** 
Brings programming to life with cool graphics and animations. A great way to learn and get started with Python.

Turtle is built-in.

<hr/>

## 50. **Asciimatics** 
Asciimatics is a library that allows you to create full-screen text UIs. 

{% cta https://github.com/peterbrittain/asciimatics %} Star ⭐ the Asciimatics repository {% endcta %}

<hr/>

## Final thoughts

And there you have it!
A sneak peek in the Python jungle! Knowing most of these libraries sets you up to tackle any project!  So get at it, Pythonista!