Learning Numpy Array

Learning Numpy Array

by Ivan Idris
Learning Numpy Array

Learning Numpy Array

by Ivan Idris

Paperback

$28.99 
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Overview

NumPy is an extension of Python that provides highly optimized arrays and numerical operations. NumPy can be used to perform many of operations that were previously performed by Matlab and Mathematics, specifically vectorized operations, but in contrast to those products is free and open source. In today's world of science and technology, it is all about speed and flexibility. When it comes to scientific computing, NumPy is on the top of the list. NumPy will give you both speed and high productivity.

This book will teach you about NumPy, a leading scientific computing library. This book enables you to quickly write readable and efficient code, which is closely associated with the language of mathematics. It also has the cutting-edge open source NumPy software library. You will be able to learn all the detailed features of NumPy that require you to know only the basics of Python. Save thousands of dollars on expensive software, while keeping all the flexibility and power of your favorite programming language.

You will learn about installing and using NumPy and related concepts. At the end of the book we will explore related scientific computing projects. This book will give you solid foundation in NumPy arrays and universal functions.


Product Details

ISBN-13: 9781783983902
Publisher: Packt Publishing
Publication date: 06/16/2014
Pages: 164
Product dimensions: 7.50(w) x 9.25(h) x 0.35(d)

About the Author

Ivan Idris was born in Bulgaria from Indonesian parents. He moved to the Netherlands in the 1990s, where he graduated from high school and got a MSc in Experimental Physics.

His graduation thesis had a strong emphasis on Applied Computer Science. After graduating he worked for several companies as Java Developer, Datawarehouse Developer and QA Analyst.

His main professional interests are Business Intelligence, Big Data and Cloud Computing. Ivan Idris enjoys writing clean testable code and interesting technical articles.

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