Top critical review
25 people found this helpful
Too short & too many errors to be worth paying for
on December 18, 2012
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.