NumPy Recipes

NumPy Recipes takes practical approach to the basics of NumPy.

 

This book is primarily aimed at developers who have at least a small amount of Python experience, who wish to use the NumPy library for data analysis, machine learning, image or sound processing, or any other mathematical or scientific application. It only requires a basic understanding of Python programming.

 

Detailed examples show how to create arrays to optimise storage different types of information, and how to use universal functions, vectorisation, broadcasting and slicing to process data efficiently. Also contains an introduction to file i/o and data visualisation with Matplotlib.

1137756377
NumPy Recipes

NumPy Recipes takes practical approach to the basics of NumPy.

 

This book is primarily aimed at developers who have at least a small amount of Python experience, who wish to use the NumPy library for data analysis, machine learning, image or sound processing, or any other mathematical or scientific application. It only requires a basic understanding of Python programming.

 

Detailed examples show how to create arrays to optimise storage different types of information, and how to use universal functions, vectorisation, broadcasting and slicing to process data efficiently. Also contains an introduction to file i/o and data visualisation with Matplotlib.

14.99 In Stock
NumPy Recipes

NumPy Recipes

by Martin McBride
NumPy Recipes

NumPy Recipes

by Martin McBride

eBook

$14.99 

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Overview

NumPy Recipes takes practical approach to the basics of NumPy.

 

This book is primarily aimed at developers who have at least a small amount of Python experience, who wish to use the NumPy library for data analysis, machine learning, image or sound processing, or any other mathematical or scientific application. It only requires a basic understanding of Python programming.

 

Detailed examples show how to create arrays to optimise storage different types of information, and how to use universal functions, vectorisation, broadcasting and slicing to process data efficiently. Also contains an introduction to file i/o and data visualisation with Matplotlib.


Product Details

BN ID: 2940164590680
Publisher: Martin McBride
Publication date: 09/23/2020
Sold by: Draft2Digital
Format: eBook
File size: 1 MB
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