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 …

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 …

NumPy 1.20 Manual [HTML+zip] [Reference Guide PDF] [User Guide PDF] NumPy 1.19 Manual [HTML+zip] [Reference Guide PDF] [User Guide PDF] NumPy 1.18 Manual [HTML+zip] …

NumPy user guide # This guide is an overview and explains the important features; details are found in NumPy reference.

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

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.

numpy.reshape # numpy.reshape(a, /, shape=None, order='C', *, newshape=None, copy=None) [source] # Gives a new shape to an array without changing its data. Parameters: aarray_like …

NumPy is an open source project that enables numerical computing with Python. It was created in 2005 building on the early work of the Numeric and Numarray libraries.

Jul 8, 2025 · Numerical computing tools NumPy offers comprehensive mathematical functions, random number generators, linear algebra routines, Fourier transforms, and more.

Handling complex numbers # ... Extrema finding # ... Miscellaneous # ... numpy.not_equal