SciPy and NumPy: An Overview for Developers
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.
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LibraryThing ReviewUser Review - albertgoldfain - LibraryThing
A very brief tour of the tools without any coverage of visualization (matplotlib) or well worked out examples. Not much better than Internet resources. Read full review
Taking SciPy One Step Further
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