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SciPy and NumPy: An Overview for Developers
 
 

SciPy and NumPy: An Overview for Developers [Kindle Edition]

Eli Bressert
2.7 out of 5 stars  See all reviews (3 customer reviews)

Print List Price: £9.99
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Product Description

Book Description

Examples to Jumpstart your Scientific Python Programming

Product Description

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.

  • Learn the capabilities of NumPy arrays, element-by-element operations, and core mathematical operations
  • Solve minimization problems quickly with SciPy’s optimization package
  • Use SciPy functions for interpolation, from simple univariate to complex multivariate cases
  • Apply a variety of SciPy statistical tools such as distributions and functions
  • Learn SciPy’s spatial and cluster analysis classes
  • Save operation time and memory usage with sparse matrices

Product details

  • Format: Kindle Edition
  • File Size: 884 KB
  • Print Length: 82 pages
  • Simultaneous Device Usage: Unlimited
  • Publisher: O'Reilly Media; 1 edition (13 Nov 2012)
  • Sold by: Amazon Media EU S.à r.l.
  • Language: English
  • ASIN: B00A712LZY
  • Text-to-Speech: Enabled
  • X-Ray:
  • Average Customer Review: 2.7 out of 5 stars  See all reviews (3 customer reviews)
  • Amazon Bestsellers Rank: #98,029 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
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Customer Reviews

2.7 out of 5 stars
2.7 out of 5 stars
Most Helpful Customer Reviews
11 of 11 people found the following review helpful
2.0 out of 5 stars Very Short 14 Dec 2012
Format:Paperback|Verified Purchase
This book would make a good chapter in another book, but weighing in at 57 pages (including the O'Reilly intro explanation and about) you don't get a lot for your money.

What you do get would make a great tutorial for a non-computational undergraduate, but this is a far cry from being a reference text - or something I would want to keep on a book shelf.

The book also includes black and white images, from which the author continuously points out 'the orange circles' or 'different colored dots'. The reader is left with only a very vague idea of what some of the diagrams intend to convey.
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1 of 1 people found the following review helpful
1.0 out of 5 stars 56 pages 12 Oct 2013
Format:Paperback|Verified Purchase
Very disappointed. Very short book. It's more like a pamphlet than a book. Guess I should have done more research on this book. Shame Oreilly published it but maybe they were after a quick buck.
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0 of 2 people found the following review helpful
5.0 out of 5 stars This is a very useful book. 12 April 2013
Format:Paperback|Verified Purchase
There are good examples in the book. They are clear and understandable. the examples may be directly used when developing a code.
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Most Helpful Customer Reviews on Amazon.com (beta)
Amazon.com: 2.8 out of 5 stars  14 reviews
17 of 17 people found the following review helpful
1.0 out of 5 stars Too short & too many errors to be worth paying for 19 Dec 2012
By Sunnyboy - Published on Amazon.com
Format:Paperback|Verified Purchase
There are a number of *free* webpages, tutorials and PDF's that explain numpy and scipy, at least one of them is longer than this 'book.' I am reviewing this booklet in light of those resources. It fails on two accounts:

As another reviewer has pointed out there are a number or errors in the examples (I suspect these are typos but for such a short booklet with so few examples there is no excuse for so many typos). Note, that I am not so picky about grammar errors - but lines of code are intended to be typed in verbatim. How frustrating it is to have error filled examples. [This is less excusable than grammar errors because bad code can be found so easily by actually trying it]

Further, this booklet doesn't have enough detail on these libraries to explain how and when one would want to use some of these algorithms and it is too long to be a cheat sheet for calling sequences (and outrageously priced for a mere cheat sheet). It is neither fish nor fowl so I do not recommend wasting your time or money on it. An internet search will turn up many explanations of both scipy and numpy you can find the details *and* cheat sheets for free.
15 of 15 people found the following review helpful
3.0 out of 5 stars Lots of errors in the examples 4 Dec 2012
By Chris Garrard - Published on Amazon.com
Format:Paperback
I've only read the chapter on numpy so far, but have noticed several syntax errors in the examples already. They will not work as written. You'd think in a book this short, they could do a better job of proofreading. I wouldn't suggest this book to a newbie for that reason and because I think he skips over some important details. Perhaps the book should've been longer and explained things a bit better. Despite those complaints, there is some good info in the book.
12 of 13 people found the following review helpful
4.0 out of 5 stars Expect a quick and easy intro 6 Dec 2012
By MSE fanatic - Published on Amazon.com
Format:Paperback|Verified Purchase
First off, this short monograph is intended to give someone who is a newly intermediate python user the working knowledge of numpy and scipy modules. This is not intended to explore every aspect in detail. Python and its modules, in general, are "living" objects, thus things change making internet documentation the best choice for an in depth look at the inner workings. Ideally this is for someone who has worked with matlab, mathematica,etc and needs similar functionality in a python environment. One of the reviewers stated syntaxial errors, but I haven't noticed any yet. I do think the author left out another import module which is also used frequently along with numpy and scipy, matplotlib used for 2D plotting. However there are two good workbooks for beginners in both numpy and matplotlib:

NumPy 1.5 Beginner's Guide
Matplotlib for Python Developers.

I do think the price point for this text is too high, should be more around $10-12.
6 of 6 people found the following review helpful
3.0 out of 5 stars Not really what I expected... 26 Dec 2012
By Aaron D. Lawson - Published on Amazon.com
Format:Kindle Edition|Verified Purchase
As with a lot of the other reviewers, I was disappointed that this book is really just a short pamphlet, giving a sampling of what SciPy and NumPy can do. I had been on the waiting list for this for many months, and I think when I advanced purchased it it was going to be much more ambitious and longer. There was a long delay in getting this out and things may have changed, I don't know. In any case the book isn't bad, it's just misleading the buyer into thinking they are getting a real book when it isn't. Definitely not worth the $18 I paid for it, I think it would be better priced at $10 or so, and for the description to highlight the form factor of the book.
10 of 12 people found the following review helpful
2.0 out of 5 stars Very short 3 Dec 2012
By Nathan - Published on Amazon.com
Format:Paperback|Verified Purchase
The book isn't bad, but it's really short. I didn't notice before I ordered, but it's only 60 pages of real content.
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