Jump to ratings and reviews
Rate this book

NumPy Cookbook

Rate this book
Today's world of science and technology 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.

"NumPy Cookbook" will teach you all about NumPy, a leading scientific computing library. NumPy replaces a lot of the functionality of Matlab and Mathematica, but in contrast to those products, it is free and open source.

"Numpy Cookbook" will teach you to write readable, efficient, and fast code that is as close to the language of Mathematics as much as possible with the cutting edge open source NumPy software library.

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 a solid foundation in NumPy arrays and universal functions. You will also learn about plotting with Matplotlib and the related SciPy project through examples.

"NumPy Cookbook" will help you to be productive with NumPy and write clean and fast code.

226 pages, Paperback

First published October 1, 2012

3 people are currently reading
24 people want to read

About the author

Ivan Idris

14 books26 followers
Ivan Idris is the author of NumPy Beginner's Guide and NumPy Cookbook. He 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.

Ratings & Reviews

What do you think?
Rate this book

Friends & Following

Create a free account to discover what your friends think of this book!

Community Reviews

5 stars
3 (16%)
4 stars
3 (16%)
3 stars
7 (38%)
2 stars
1 (5%)
1 star
4 (22%)
Displaying 1 of 1 review
Profile Image for Mark Pedigo.
352 reviews2 followers
February 10, 2020
A collection of recipes using NumPy. Worth a quick skim to see the various capabilities of NumPy.
Displaying 1 of 1 review

Can't find what you're looking for?

Get help and learn more about the design.