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.

The only prerequisite for installing NumPy is Python itself. If you don’t have Python yet and want the simplest way to get started, we recommend you use the Anaconda Distribution - it includes Python, NumPy, and many other commonly used packages for …

NumPy’s main object is the homogeneous multidimensional array. It is a table of elements (usually numbers), all of the same type, indexed by a tuple of non-negative integers.

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

What is NumPy? # NumPy is the fundamental package for scientific computing in Python.

WHAT IS NUMPY? NumPy is the fundamental package for scientific computing in Python.

The NumPy library contains multidimensional array data structures, such as the homogeneous, N-dimensional ndarray, and a large library of functions that operate efficiently on these data structures.

Numpy 1.19 Manual [HTML+zip] [Reference Guide PDF] [User Guide PDF] Numpy 1.18 Manual [HTML+zip] [Reference Guide PDF] [User Guide PDF] Numpy 1.17 Manual [HTML+zip] [Reference Guide PDF] [User Guide PDF] Numpy 1.16 Manual [HTML+zip] [Reference Guide PDF] [User Guide PDF] Numpy 1.15 Manual [HTML+zip] [Reference Guide PDF] [User Guide …

O NumPy oferece um conjunto completo de funções matemáticas, geradores de números aleatórios, rotinas de álgebra linear, transformadas de Fourier, e mais.