scikit-learn
scikit-learn.org
scikit-learn: machine learning in Python — scikit-learn 0.16.1 documentation
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Reddit
reddit.com › r/python › best python libraries for ai/ml: which ones deserve more attention?
r/Python on Reddit: Best Python Libraries for AI/ML: Which Ones Deserve More Attention?
September 23, 2024 -
Hey folks,
My colleague Nicolas Azevedo just wrote a pretty comprehensive article about Python libraries for AI and Machine Learning. It covers a bunch of stuff from basic data wrangling with Pandas and NumPy to the heavy hitters like TensorFlow and PyTorch.
I thought it was a solid overview, especially how it breaks down when you might use one library over another. Like, when you'd reach for TensorFlow vs PyTorch, that kind of thing.
Anyway, I'm curious:
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What's your favorite Python library for AI/ML stuff?
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Any libraries you think don't get enough love?
Here's the link if you want to check it out: https://www.scalablepath.com/python/python-libraries-machine-learning
[D] A hand-picked selection of the best Python ML Libraries of 2021
skweak is very very interesting, thanks for the list
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December 21, 2021best-of-python: A ranked list of awesome Python libraries and tools
Docopt needs to be replaced with docopt-ng. Stars aren't everything. Docopt-ng is docopt, but with testing, bug fixes, and useful error messages.
PyQt and PySide should be on there before quiet a few other libraries on there. I'd even let wxPython on.
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1234
January 14, 2021How to Start Machine Learning in python in 2021 for free & 100% online
What are the requirements/prerequisites to start learning this?
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65
February 6, 2021[D] Ideal deep learning library
2.6m members in the MachineLearning community. More on reddit.com
Videos
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Top 10 Python Libraries for Machine Learning! - YouTube
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17 Python Libraries Every AI Engineer Should Know - YouTube
Top 10 Python Libraries for AI & Machine Learning 2026
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GeeksforGeeks
geeksforgeeks.org › machine learning › best-python-libraries-for-machine-learning
Best Python libraries for Machine Learning - GeeksforGeeks
January 6, 2026 - NumPy is a fundamental numerical computing library in Python that provides support for large, multi-dimensional arrays and matrices, along with a comprehensive collection of mathematical functions. In machine learning, NumPy is primarily used for handling numerical data, performing vectorized operations and implementing low-level mathematical computations efficiently.
GitHub
github.com › lukasmasuch › best-of-ml-python
GitHub - lukasmasuch/best-of-ml-python: 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly. ml-python.best-of.org · python nlp data-science machine-learning deep-learning tensorflow scikit-learn keras ml data-visualization pytorch transformer data-analysis gpt automl jax data-visualizations gpt-3 chatgpt ·
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Coursera
coursera.org › coursera articles › data › ai and machine learning › 9 best python libraries for machine learning
9 Best Python Libraries for Machine Learning | Coursera
December 1, 2025 - In this article, you'll learn more about Python libraries and explore nine that are best for machine learning. Afterward, if you want to learn to build and train deep learning models using PyTorch, consider enrolling in DeepLearning.AI's PyTorch for Deep Learning Professional Certificate program.
Project Jupyter
jupyter.org
Project Jupyter | Home
Its flexible interface allows users to configure and arrange workflows in data science, scientific computing, computational journalism, and machine learning. A modular design invites extensions to expand and enrich functionality. ... The Jupyter Notebook is the original web application for creating and sharing computational documents. It offers a simple, streamlined, document-centric experience. ... Jupyter supports over 40 programming languages, including Python, R, Julia, and Scala.
Scalable Path
scalablepath.com › python › python-libraries-machine-learning
The Best Python Libraries for Machine Learning and AI: Features & Applications | Scalable Path
March 2, 2026 - Its Pythonic and user-friendly API makes it accessible for researchers and developers, while its popularity in the research community ensures a wealth of cutting-edge models and resources. PyTorch's flexibility and ease of use make it an excellent choice for prototyping and experimentation in machine learning projects.
Quora
quora.com › What-are-the-top-5-Python-libraries-for-machine-learning-in-2024
What are the top 5 Python libraries for machine learning in 2024? - Quora
SciPy - SciPy is a very popular library among Machine Learning enthusiasts as it contains different modules for optimization, linear algebra, integration and statistics. Skikit-learn is one of the most popular ML libraries for classical ML algorithms. It is built on top of two basic Python libraries, viz., NumPy and SciPy.
Medium
medium.com › @expertappdevs › top-python-libraries-for-machine-learning-3434188eef3a
Top Python Libraries for Machine Learning | by Expert App Devs | Medium
April 18, 2025 - Python’s machine learning ecosystem is vast, but these five libraries — NumPy, Pandas, Scikit-learn, TensorFlow, and PyTorch — stand out as the most essential tools for any ML practitioner.
Op&Sue
opentissue.org › home › python libraries for machine learning
Python Libraries for Machine Learning - Op&Sue
February 15, 2023 - This library is written in C, which gives it an advantage over the standard built-in Python sequencer. Numpy arrays are better than the pandas series in terms of indexing, and Numpy works better when the number of entries is less than 50 KB. NumPy arrays are loaded into a single CPU, which can cause slower processing compared to newer alternatives such as Tensorflow, Dask or JAX, but nevertheless, learning Numpy is very easy and it is one of the most popular libraries to enter the Machine Learning World.
Zenesys
zenesys.com › 10-best-python-libraries-for-machine-learning
10 Best Python Libraries For Machine Learning | Zenesys Blog
It uses python GUI toolkits to produce graphs and plots using object-oriented APIs. The Matplotlib also provides a MATLAB-like interface so that a user can do similar tasks as MATLAB.
ActiveState
activestate.com › home › blog › top 10 python packages for machine learning
Top 10 Python Packages for Machine Learning - ActiveState
February 27, 2020 - Originally developed by Google, TensorFlow is an open-source library for high-performance numerical computation using data flow graphs. Under the hood, it’s actually a framework for creating and running computations involving tensors. The principal application for TensorFlow is in neural networks, and especially deep learning where it is widely used. That makes it one of the most important Python packages for machine learning
Igmguru
igmguru.com › blog › python-libraries-for-machine-learning
Top 10 Python Libraries for Machine Learning (2026) | igmGuru
2 weeks ago - When I first started working with machine learning, one thing became clear very quickly- choosing the right Python library can save you hours of effort and frustration. Python stands out because it doesn't just let you build models, it gives you a complete ecosystem to experiment, test, and ...
DeepLearning.AI
deeplearning.ai › blog › essential-python-libraries-for-machine-learning-and-data-science
Essential Python Libraries for Machine Learning and Data Science
April 17, 2023 - It is considered one of the best libraries available if you need to implement algorithms for classification, regression, clustering, model selection, and more. Downsides: Scikit-learn was built before deep learning took off. While it works great for core machine learning and data science jobs, if you are building neural nets you’ll need either TensorFlow or Pytorch (below). Best place to learn: Machine Learning in Python with Scikit-Learn from Data School.
RTInsights
rtinsights.com › home › analytics
10 Essential Python Libraries for Machine Learning and Data Science - RTInsights
September 3, 2024 - AIOps Cognitive Computing Deep Learning Expert Systems Generative AI IBM Watson Machine Learning Natural Language Processing Reasonable AI ... A quick overview of ten Python libraries that can assist you in optimizing your workflow, improving your models, and maximizing your data.
PyTorch Foundation
pytorch.org
PyTorch Foundation
PyTorch Foundation is the deep learning community home for the open source PyTorch framework and ecosystem.
Medium
medium.com › enjoy-algorithm › popular-python-libraries-in-machine-learning-db9d7f433626
Learning Tips For Popular Python Libraries In Machine Learning | by Ravish Kumar | EnjoyAlgorithms | Medium
February 11, 2024 - Scipy (Scientific Python) to optimize linear algebra, calculus, and image data-based calculations. Pandas to manage the datasets efficiently and effectively. Matplotlib to visualize the dataset or perform analysis.
DeepLearning.AI
deeplearning.ai › home › courses › ai python for beginners
AI Python for Beginners - DeepLearning.AI
October 10, 2025 - Whether you want to automate repetitive tasks, extract insights from large datasets, or create AI-powered tools to enhance your work or personal projects, this course will give you the skills to get started. By the end, you’ll not only understand Python basics but also know how to leverage powerful data analysis libraries, interact with web APIs, and set up Python on your own computer to continue your learning journey.
MindStick
mindstick.com › articles › 334581 › top-9-python-libraries-for-machine-learning
Top 9 Python Libraries for Machine Learning – MindStick
January 2, 2024 - Theano is a very specific library, and is mainly used by machine learning and deep learning developers and programmers. It supports integration with NumPy and can be used with a graphics processing unit (GPU) instead of a central processing unit (CPU), resulting in 140x faster data-intensive calculations. ... Integrated validation and unit testing tools. Fast and stable evaluations. Data-intensive calculations. ... Another of the best Python libraries on the market is Pandas, which is often used for machine learning.