SciPy and NumPy

Eli Bressert

ISBN 10: 1449305466 / ISBN 13: 9781449305468

Edité par O'Reilly Media, 2012

Pages are clean and are not marred by notes or folds of any kind. ~ ThriftBooks: Read More, Spend Less 0.35. N° de réf. du vendeur G1449305466I2N00

Synopsis :

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 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

À propos de l?auteur: Eli Bressert is a PhD astrophysics student, Chandra Science Imager, and contributor to astrobetter.com and astropython.org. He develops Python apps like ATpy, APLpy, and Luj.

Détails bibliographiques

Titre : SciPy and NumPy
Éditeur : O'Reilly Media
Date d'édition : 2012
Reliure : Paperback
Etat : As New
Etat de la jaquette : No Jacket