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SciPy and NumPy by Eli Bressert is a reference work available to read on EtoBox.

What is SciPy and NumPy about?

Want to learn SciPy and NymPy quickly? Cut through the complexity of online documentation with this concise and illustrated book, and discover how easily you can get up to speed with these Python libraries. You’ll understand why they’re powerful enough for many of today’s leading scientists and engineers.Learn how to use NumPy for numerical processing, including array indexing, math operations, and loading and saving data. With SciPy, you’ll work with advanced mathematical functions such as optimization, interpolation, integration, clustering, statistics, and other tools that take scientific programming to a whole new level. This book also introduces add-on SciKits packages that focus on advanced imaging algorithms and machine learning.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

Who reads SciPy and NumPy?

Author

Eli Bressert

Publisher

O'Reilly Media, Incorporated

Published

2012

Language

EN

ISBN

9781449305468

Category

reference

Subjects

Language Learning, Computer Science, Science

Rating

2.88 / 5 (39 ratings)

Updated

2026-03-14