- Paperback: 57 pages
- Publisher: O'Reilly Media; 1 edition (November 25, 2012)
- Language: English
- ISBN-10: 1449305466
- ISBN-13: 978-1449305468
- Product Dimensions: 7 x 0.2 x 9.2 inches
- Shipping Weight: 6.4 ounces
- Average Customer Review: 16 customer reviews
- Amazon Best Sellers Rank: #1,496,307 in Books (See Top 100 in Books)
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SciPy and NumPy: An Overview for Developers 1st Edition
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Examples to Jumpstart your Scientific Python Programming
About the Author
Eli Bressert was born in Tucson, Arizona. He worked as a science imager for NASA's Chandra X-ray Space Telescope optimizing science images which are frequently seen on book covers, newspapers, television, and other media. Afterward, Eli obtained his PhD in astrophysics at the University of Exeter and is currently a Bolton Fellow at CSIRO Astronomy and Space Science in Sydney, Australia. For the past six years Eli has been programming in Python and giving Python lectures at Harvard University, the European Space Astronomy Centre, and the European Southern Observatory. He is one of the founding developers for two well-known astrophysics Python packages: ATpy and APLpy.
Top customer reviews
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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.
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.
In general I am OK with the way concepts are introduced, and it is clear that the author has considerable experience in scientific programming, in Python. But coverage is simply insufficient, in my opinion.
There are also, couple of syntax errors. They are not critical, you can correct them easily, but after feeling kind of disappointed with the content, it just adds .. to the injury.
Most recent customer reviews
It is pretty standard stuff found easily on the internet from a quick...Read more