02023nam a22002297a 4500 2433 2433 OSt 20200224132220.0 200117b ||||| |||| 00| 0 eng d 978-93-5213-605-6 Allied Informatics, Jaipur 7084 13/01/2020 2019-20 BSDU English BSDU 005.133 NUN Nunez-Iglesias, Walt Elegant Scipy: The art of scientific python Mumbai Shroff Publishers & Distributors Pvt. Ltd. 2019 251 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 Python Stefan van der Dashnow, Harriet ddc BK 0 0 ddc 0 0 BSDU BSDU GEN 2020-01-17 750.00 0 005.133 NUN 017987 2020-02-12 00:00:00 750.00 2020-01-17 BK