Nearly every scientist working in Python draws on the power of NumPy. NumPy brings the computational power of languages like C and Fortran to Python, a language much easier to …

What is NumPy? NumPy is a Python library used for working with arrays. It also has functions for working in domain of linear algebra, fourier transform, and matrices. NumPy was created in …

NumPy is a community-driven open source project developed by a diverse group of contributors. The NumPy leadership has made a strong commitment to creating an open, inclusive, and …

NumPy (pronounced / ˈnʌmpaɪ / NUM-py) is a library for the Python programming language, adding support for large, multi-dimensional arrays and matrices, along with a large collection …

Aug 12, 2025 · This section covers the fundamentals of NumPy, including installation, importing the library and understanding its core functionalities. You will learn about the advantages of …

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

NumPy is a Python library that provides a simple yet powerful data structure: the n-dimensional array. This is the foundation on which almost all the power of Python’s data science toolkit is …

NumPy is the foundational Python library for numerical computing, providing support for large multi-dimensional arrays and matrices, along with an extensive collection of mathematical …

The reference guide contains a detailed description of the functions, modules, and objects included in NumPy. The reference describes how the methods work and which parameters …

NumPy is a Python library created in 2005 that performs numerical calculations. It is generally used for working with arrays. NumPy also includes a wide range of mathematical functions, …