NumPy User Guide

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NumPy User Guide Release Written by the NumPy community May 24, 2020. CONTENTS. 1 Setting up 3. 2 Quickstart tutorial 9. 3 NumPy basics 33. 4 Miscellaneous 97. 5 NumPy for Matlab users 103. 6 Building from source 111. 7 Using NumPy C-API 115. Python Module Index 163. Index 165. i ii NumPy User Guide , Release This Guide is intended as an introductory overview of NumPy and explains how to install and make use of the most important features of NumPy . For detailed reference documentation of the functions and classes contained in the package, see the reference. CONTENTS 1. NumPy User Guide , Release 2 CONTENTS. CHAPTER. ONE. SETTING UP. What is NumPy ? NumPy is the fundamental package for scientific computing in Python. It is a Python library that provides a multidi- mensional array object, various derived objects (such as masked arrays and matrices), and an assortment of routines for fast operations on arrays, including mathematical, logical, shape manipulation, sorting, selecting, I/O, discrete fourier transforms, basic linear algebra, basic statistical operations, random simulation and much more.

fast operations on arrays, including mathematical, logical, shape manipulation, sorting, selecting, I/O, discrete Fourier transforms, basic linear algebra, basic statistical operations, random simulation and much more. At the core of the NumPy package, is the ndarray object. This encapsulates n-dimensional arrays of homogeneous

  Fast, Transform, Fourier, Fourier transform, Numpy