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Elegant Scipy: The art of scientific python (Record no. 2433)

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005 - DATE AND TIME OF LATEST TRANSACTION
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020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 978-93-5213-605-6
028 ## - PUBLISHER NUMBER
Source Allied Informatics, Jaipur
Bill Number 7084
Bill Date 13/01/2020
Purchase Year 2019-20
040 ## - CATALOGING SOURCE
Original cataloging agency BSDU
Language of cataloging English
Transcribing agency BSDU
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 005.133
Item number NUN
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Nunez-Iglesias, Walt
245 ## - TITLE STATEMENT
Title Elegant Scipy: The art of scientific python
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Mumbai
Name of publisher, distributor, etc. Shroff Publishers & Distributors Pvt. Ltd.
Date of publication, distribution, etc. 2019
300 ## - PHYSICAL DESCRIPTION
Extent 251
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note All Indian Reprints of O'Reilly are printed in Grayscale.

Welcome to Scientific Python and its community. If you’re a scientist who programs with Python, this practical guide not only teaches you the fundamental parts of SciPy and libraries related to it, but also gives you a taste for beautiful, easy-to-read code that you can use in practice. You’ll learn how to write elegant code that’s clear, concise, and efficient at executing the task at hand.

Throughout the book, you’ll work with examples from the wider scientific Python ecosystem, using code that illustrates principles outlined in the book. Using actual scientific data, you’ll work on real-world problems with SciPy, NumPy, Pandas, scikit-image, and other Python libraries.

Explore the NumPy array, the data structure that underlies numerical scientific computation
Use quantile normalization to ensure that measurements fit a specific distribution
Represent separate regions in an image with a Region Adjacency Graph
Convert temporal or spatial data into frequency domain data with the Fast Fourier Transform
Solve sparse matrix problems, including image segmentations, with SciPy’s sparse module
Perform linear algebra by using SciPy packages
Explore image alignment (registration) with SciPy’s optimize module
Process large datasets with Python data streaming primitives and the Toolz library
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Python
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Stefan van der
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Dashnow, Harriet
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Koha item type Books
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Permanent Location Current Location Shelving location Date acquired Cost, normal purchase price Full call number Barcode Date last seen Cost, replacement price Price effective from Koha item type
          BSDU Knowledge Resource Center, Jaipur BSDU Knowledge Resource Center, Jaipur General Stacks 2020-01-17 750.00 005.133 NUN 017987 2020-02-12 750.00 2020-01-17 Books

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