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Elegant SciPy : The Art of Scientific Python by Juan Nunez-Iglesias, Harriet Dashnow and Stéfan van der Walt (2017, Trade Paperback)
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Format: Paperback or Softback. ISBN: 9781491922873. Condition Guide. Item Availability.
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About this product
Product Identifiers
PublisherO'reilly Media, Incorporated
ISBN-101491922877
ISBN-139781491922873
eBay Product ID (ePID)219244570
Product Key Features
Number of Pages268 Pages
Publication NameElegant Scipy : the Art of Scientific Python
LanguageEnglish
SubjectImage Processing, Data Processing, Programming Languages / Python
Publication Year2017
TypeTextbook
AuthorJuan Nunez-Iglesias, Harriet Dashnow, Stéfan Van Der Walt
Subject AreaComputers
FormatTrade Paperback
Dimensions
Item Height0.6 in
Item Weight17.1 Oz
Item Length9.2 in
Item Width7 in
Additional Product Features
Intended AudienceScholarly & Professional
LCCN2017-276549
IllustratedYes
SynopsisWelcome 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, 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
LC Classification NumberQ183.9
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