SciPy and NumPy Book Reviews

AUTHOR
Eli Bressert
SCORE
0
TOTAL RATINGS
48

SciPy and NumPy by Eli Bressert Book Summary

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 operationsSolve minimization problems quickly with SciPy’s optimization packageUse SciPy functions for interpolation, from simple univariate to complex multivariate casesApply a variety of SciPy statistical tools such as distributions and functionsLearn SciPy’s spatial and cluster analysis classesSave operation time and memory usage with sparse matrices

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Book Name SciPy and NumPy
Genre Programming
Published
Language English
E-Book Size 2.99 MB

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Summary of SciPy and NumPy by Eli Bressert

The SciPy and NumPy book written by Eli Bressert was published on 15 November 2012, Thursday in the Programming category. A total of 48 readers of the book gave the book 0 points out of 5.

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