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 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 1.20 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] [Reference …

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

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

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 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.

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 Array to …

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

numpy.where # numpy.where(condition, [x, y, ]/) # Return elements chosen from x or y depending on condition.