Python Libraries for AI/ML
Explore the essential Python libraries that power the world of Artificial Intelligence and Machine Learning.
NumPy
The fundamental package for scientific computing with Python. It provides support for large, multi-dimensional arrays and matrices, along with a collection of mathematical functions to operate on these arrays efficiently.
Pandas
A powerful and flexible open-source data analysis and manipulation tool, built on top of the NumPy library. It is widely used for data cleaning, preprocessing, exploration, and analysis.
SciPy
A library used for scientific and technical computing. It builds on NumPy and provides modules for optimization, linear algebra, integration, interpolation, special functions, FFT, signal and image processing, ODE solvers, and other tasks common in science and engineering.
Scikit-learn
A free software machine learning library for the Python programming language. It features various classification, regression and clustering algorithms including support vector machines, random forests, gradient boosting, k-means and DBSCAN, and is designed to interoperate with the Python numerical and scientific libraries NumPy and SciPy.
TensorFlow
An end-to-end open-source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML-powered applications.
PyTorch
An open-source machine learning framework that accelerates the path from research prototyping to production deployment. PyTorch is used for applications such as computer vision and natural language processing, initially developed by Meta AI.
Keras
A high-level, user-friendly API for building and training neural networks. It runs on top of TensorFlow, Theano, or CNTK, making it versatile and easy to use for rapid prototyping.
Matplotlib
A comprehensive library for creating static, animated, and interactive visualizations in Python. It's often used for plotting data and understanding the results of ML models.
Seaborn
A data visualization library based on Matplotlib. It provides a high-level interface for drawing attractive and informative statistical graphics. Especially useful for exploring relationships in data.