SciPy and NumPy

by Eli Bressert

Are you new to SciPy and NumPy? Do you want to learn it quickly and easily through examples and a concise introduction? Then this is the book for you. You’ll cut through the complexity of online documentation and discover how easily you can get up to speed with these Python libraries. Ideal for data analysts and scientists in any field, this overview shows you how to use NumPy for numerical processing, including array indexing, math operations, and loading and saving data. You’ll learn how SciPy helps you work with advanced mathematical functions such as optimization, interpolation, integration, clustering, statistics, and other tools that take scientific programming to a whole new level. The new edition is now available, fully revised and updated in June 2013.

Genres: Programming, Computer Science, Computers

82 pages, Paperback

First published April 22, 2012

Reviews

[Eduardo Ariño]

Acceptable book, but may as well have been two blog posts.

[Wendelle]

well-met as a refresher. cannot be a textbook as it is very bare-bones and it assumes an example or two suffices for explication, which only works if you have seen the material prior

[Mark Pedigo]

A very short (55 page) overview lecture of the tools. Fine as far as it goes.

[Mark]

It is more like a quick reference guide than a full book on all the ins and outs of these two packages.

[Matt Heavner]

One of the most disappointing O'Reilly computer books. This was almost $0.50 / page at the list price!! I think a "concise intro to numpy and scipy" is a nobel goal -- but this is too brief. It just barely scratches the surface. There are plots shown, and some of the sample code does show how the plots were generated (most don't..) but there is no discussion of matplotlib at all. And there are references to "in red is shown..." -- and it is all printed in black and white! The "brief intro" concept is a good idea, but the price of $25 is crazy, and the execution in this case is very disappointing...

[Jascha]

Nothing special, really, you will probably find more in the introduction web page.

[Albert]

A very brief tour of the tools without any coverage of visualization (matplotlib) or well worked out examples. Not much better than Internet resources.

[Rrrrrron]

short and sweet.

[TN]

It is a relatively short book, but it has useful info about NumPy and SciPy. I liked the examples as well.

[vishnu viswanath]

pretty good book for a starter who want to get an idea about scipy and numpy