Powerful N-dimensional arrays Fast and versatile, the NumPy vectorization, indexing, and broadcasting concepts are the de-facto standards of array computing today. Numerical computing tools NumPy offers comprehensive mathematical functions, random number generators, linear algebra routines, Fourier transforms, and more.

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 can be used. It assumes that you have an understanding of the key concepts.

Below is a curated collection of educational resources, both for self-learning and teaching others, developed by NumPy contributors and vetted by the community. Beginners# There’s a ton of information about NumPy out there. If you are just starting, we’d strongly recommend the following: Tutorials. NumPy Quickstart Tutorial

The recommended method of installing NumPy depends on your preferred workflow. Below, we break down the installation methods into the following categories: Project-based (e.g., uv, pixi) (recommended for new users)

Understand the difference between one-, two- and n-dimensional arrays in NumPy; Understand how to apply some linear algebra operations to n-dimensional arrays without using for-loops; Understand axis and shape properties for n-dimensional arrays. The basics# NumPy’s main object is the homogeneous multidimensional array.

Se você está começando, recomendamos fortemente estes: Tutoriais NumPy Quickstart Tutorial (Tutorial de Início Rápido) NumPy Tutorials Uma coleção de tutoriais e materiais educacionais no formato de Notebooks Jupyter desenvolvidos e mantidos pelo time de documentação do NumPy.

数値計算ツール群 NumPyは、様々な数学関数、乱数生成器、線形代数ルーチン、フーリエ変換などを提供しています。 オープンソース NumPyは、寛容なBSDライセンスで公開されています。

The NumPy linear algebra functions rely on BLAS and LAPACK to provide efficient low level implementations of standard linear algebra algorithms. Those libraries may be provided by NumPy itself using C versions of a subset of their reference implementations but, when possible, highly optimized libraries that take advantage of specialized ...

NumPy constituye la base de potentes librerías de aprendizaje automático como scikit-learn y SciPy. A medida que crece el aprendizaje automático, también lo hace la lista de librerías basadas en NumPy.

2024年12月14日 · This reference manual details functions, modules, and objects included in NumPy, describing what they are and what they do. For learning how to use NumPy, see the complete documentation . Python API #