Book Image

NumPy Essentials

By : Leo (Liang-Huan) Chin, Tanmay Dutta, Shane Holloway
Book Image

NumPy Essentials

By: Leo (Liang-Huan) Chin, Tanmay Dutta, Shane Holloway

Overview of this book

In today’s world of science and technology, it’s all about speed and flexibility. When it comes to scientific computing, NumPy tops the list. NumPy gives you both the speed and high productivity you need. This book will walk you through NumPy using clear, step-by-step examples and just the right amount of theory. We will guide you through wider applications of NumPy in scientific computing and will then focus on the fundamentals of NumPy, including array objects, functions, and matrices, each of them explained with practical examples. You will then learn about different NumPy modules while performing mathematical operations such as calculating the Fourier Transform; solving linear systems of equations, interpolation, extrapolation, regression, and curve fitting; and evaluating integrals and derivatives. We will also introduce you to using Cython with NumPy arrays and writing extension modules for NumPy code using the C API. This book will give you exposure to the vast NumPy library and help you build efficient, high-speed programs using a wide range of mathematical features.
Table of Contents (16 chapters)
NumPy Essentials
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface

Building the first working distribution


All of the tools we mentioned previously (setuptoolsDistutils and numpy.distutils) are centered around the function setup. To get an understanding of most packaging requirements, we will look into a simple setup function and then study a full-fledged installer. To create a basic installer, we need to call the setup function with metadata about the package. Let's call our first package py_hello, which has just one function greeter, and just prints a message when called. The package can be downloaded from the Bitbucket repository at https://bitbucket.org/tdatta/books/src/af376df081ef/python/simple_setup/?at=master The project directory structure for the project looks like the following:

py_hello 
├── README 
├── MANIFEST.in 
├── setup.py 
├── bin 
│   └── greeter.bat 
└── greeter 
    ├── __init__.py 
    ├── greeter.py 

Let's look at some standard files here:

  • README-This file is used to store information...