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NumPy Essentials

You're reading from  NumPy Essentials

Product type Book
Published in Apr 2016
Publisher
ISBN-13 9781784393670
Pages 156 pages
Edition 1st Edition
Languages
Authors (3):
Leo (Liang-Huan) Chin Leo (Liang-Huan) Chin
Profile icon Leo (Liang-Huan) Chin
Tanmay Dutta Tanmay Dutta
Profile icon Tanmay Dutta
Shane Holloway Shane Holloway
Profile icon Shane Holloway
View More author details

Table of Contents (16) Chapters

NumPy Essentials
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface
1. An Introduction to NumPy 2. The NumPy ndarray Object 3. Using NumPy Arrays 4. NumPy Core and Libs Submodules 5. Linear Algebra in NumPy 6. Fourier Analysis in NumPy 7. Building and Distributing NumPy Code 8. Speeding Up NumPy with Cython 9. Introduction to the NumPy C-API 10. Further Reading

The basic structure of an extension module


An extension module written in C will have the following parts:

  • A header segment, where you include all your external libraries and Python.h
  • An initialization segment, where you define the module name and the functions in your C module
  • A method structure array to define all the functions in your module
  • An implementation segment, where you define all the functions that you would like to expose

The header segment

Header snippets are quite standard, just like a normal C module. We need to include the Python.h header file to give our C code access to the internals of the C-API. This file is present in <path_to_python>/include. We will be using an array object in our example code, hence we have included the numpy/arrayobject.h header file as well. We don't need to specify the full path of the header file here as the path resolution is taken care of in setup.py, which we will take a look at later:

/* 
Header Segment 
*/ 
 
#include...
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