Python for Scientists 1st Edition

by John M. Stewart (Author)

17 ratings

ISBN-13: 978-1107686427

ISBN-10: 1107686423

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Python is a free, open source, easy-to-use software tool that offers a significant alternative to proprietary packages such as MATLAB® and Mathematica®. This book covers everything the working scientist needs to know to start using Python effectively. The author explains scientific Python from scratch, showing how easy it is to implement and test non-trivial mathematical algorithms and guiding the reader through the many freely available add-on modules. A range of examples, relevant to many different fields, illustrate the program's capabilities. In particular, readers are shown how to use pre-existing legacy code (usually in Fortran77) within the Python environment, thus avoiding the need to master the original code. Instead of exercises the book contains useful snippets of tested code which the reader can adapt to handle problems in their own field, allowing students and researchers with little computer expertise to get up and running as soon as possible.

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Editorial Reviews

Review

"… the practitioner who wants to learn Python will love it. This is the type of book I have been looking for to learn Python … concise, yet practical."
European Mathematical Society (euro-math-soc.eu)

Book Description

This book provides everything the working scientist needs to know to start using Python effectively.

Publisher ‏ : ‎ Cambridge University Press; 1st edition (July 1, 2014)
Language ‏ : ‎ English
Paperback ‏ : ‎ 230 pages
ISBN-10 ‏ : ‎ 1107686423
ISBN-13 ‏ : ‎ 978-1107686427
Item Weight ‏ : ‎ 1.06 pounds
Dimensions ‏ : ‎ 6.9 x 0.5 x 9.7 inches

Customer Reviews:
17 ratings

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James Brownlow

Wanna learn Python??

Reviewed in the United States on November 28, 2017

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Excellenz introduction to using Python. Clear explanations and examples. Im using the book for an Intro Python class for Data scientists

One person found this helpful

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Amazon Customer

Very good

Reviewed in the United States on September 29, 2018

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Excellent.

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Drew

Pretty sure the publisher thinks this is a book about snakes

Reviewed in the United States on September 7, 2017

Book says that the example code/snippets is available online. Don't trust that. Resources aren't posted. Contacted publisher and they said: only means the code in this book CAN work online... Do yourself a favor, find a free online tutorial.

3 people found this helpful

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Andrew

Code Snippets Not Available

Reviewed in the United States on September 7, 2017

The book is interesting overall, however, the code snippets are not available on the website to download which directly contradicts the description that says "Scientific Python is taught from scratch in this book via copious, downloadable, useful and adaptable code snippets." I emailed the publisher because this is an essential part of any modern coding book! I am waiting to hear back. I will update the review if I get a response, but for now I can only give it 2 stars.

2 people found this helpful

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GRJM

Unfortunately, based on Python 2. Python 2 is ...

Reviewed in the United States on June 26, 2017

Unfortunately, based on Python 2. Python 2 is on life support. It was supposed to be phased out in 2015, but support has been extended to 2020.

All the needed libraries are available in Python 3.

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Amazon Customer

Five Stars

Reviewed in the United States on April 30, 2015

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Very good.

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jjs

Quite good

Reviewed in the United Kingdom on January 1, 2022

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On the whole I enjoyed reading this, even though I didn't understand most of the maths, because it made a change and was refreshing to read good English. Although learning some maths is on my to-do list, learning more Python was my priority. Don't expect to learn any maths from the book, but this is not a criticism because the book was never intended for that purpose. However, I do have several criticisms about it. The editing is quite flawed. An early portent of this occurs near the beginning of the book: the contents page numbers for each of the two prefaces is wrong. There are a few semantic oddities here and there throughout the text. Also a lot of it is in Python 2. Further, the various places and formats it cites for downloading the code used in the book no longer exist. I eventually found only one place (I think it was the publisher's website) where the code was available, but only in htm format. And the code I did find did not include any code from the Appendices. (Update: the code from Appendix B does indeed seem to be there - at the end of the Chapter 9 stuff.) It is a shame that so many programming language books are out of date, and it seems that so often all the promised on-line extras are long gone. Had I bought this (2nd Edition) at the time of publication I might have given it more stars.

Amazon Customer

Good starting point for researchers

Reviewed in the United Kingdom on January 8, 2022

Verified Purchase

I am writing this review while navigating the first few pages of the book. It is very informative and well communicated to the researchers who need an open-source programming language to simulate their mathematical models. Indeed, it does not cover everything, but a perfect start!

Eric

An excellent reference.

Reviewed in the United Kingdom on February 6, 2015

Verified Purchase

This book saved me a lot of work. I soon found a function we met my needs and saved a lot of prototyping.

One person found this helpful

GaryCalgary

An excellent intro with valuable instructions to get Python installed and configured

Reviewed in Canada on July 18, 2015

Verified Purchase

I'm just in the initial stages of working through this book but it already has proven its worth. The discussion of Python is clear and very helpful but what really helped me was the appendix with its instructions about how to easily set up a working Python environment on my Windows laptop. I have heard that this can be a complex, even daunting process, and I was eager to skip that and get right to using the language (I'm a very experienced programmer but do not enjoy configuring a complex system). Anyway, the book suggests the Canopy package by Enthought. This turns out to be free for academics (that's me) but it would be well worth a modest fee. I downloaded it and got it installed and running right away and was able to accomplish the exercises in the text with hardly any bother about configuring or searching for packages. This tip alone was worth the price of the book and now I'm enjoying the process of working through the text.

One person found this helpful

Ramon Crehuet

Good and clear. But too much discussion on differential equations

Reviewed in Spain on April 24, 2015

Verified Purchase

This is a clear book oriented to scientists, that introduces numpy and matplotlib pretty soon, as it should be (otherwise, it would be a general book on python) and does not delve into object oriented programming or data structures.
Being a new book and for beginners it is a pity it still uses python 2.x, instead of python 3.x.
It covers some advanced topics such as f2py and interactive and 3D visualizations. All of them are advanced but very relevant to scientists, so I think the choice of topics is adequate and shows the scientific background of the author.
My main criticism is that the book goes into too much detail in solving different types of differential equations. I agree this is a very relevant topic in scientific computing, but other topics (such as optimization or FFT) are not treated whereas about 80 pages are devoted to differential equations. Maybe I'm also showing my own bias in this opinion...

2 people found this helpful

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