This is the documentation for Numpy and Scipy.

NumPy offers comprehensive mathematical functions, random number generators, linear algebra routines, Fourier transforms, and more. Distributed under a liberal BSD license, NumPy is developed …

Jul 5, 2025 · In Python scientific computing, NumPy provides the core tools for numerical operations and array handling, while SciPy builds on NumPy to offer advanced scientific functions like integration, …

Feb 22, 2026 · SciPy is built to work with NumPy arrays, and provides many user-friendly and efficient numerical routines, such as routines for numerical integration and optimization. Together, they run on …

Aug 22, 2025 · NumPy handles basic array operations and math, while SciPy builds on NumPy to provide specialized statistical tools and advanced algorithms. This guide covers the strengths of …

Sep 3, 2024 · In this blog post, we will delve into the fundamental distinctions between SciPy and NumPy. We will explore their core functionalities, performance considerations, and the specific use …

Sep 15, 2025 · SciPy, short for Scientific Python, builds upon NumPy. It’s a collection of modules for advanced scientific and technical computing. While NumPy provides the fundamental data structure …

The main confusion comes from the fact that NumPy retains many old sub-modules (which should have gone into Scipy) that were included at the time when the demarcation between SciPy/NumPy wasn't …

Foundational Extends NumPy providing additional tools for array computing and provides specialized data structures, such as sparse matrices and k-dimensional trees.

Below is a curated collection of educational resources, both for self-learning and teaching others, developed by NumPy contributors and vetted by the community.