Elegant SciPy By Juan Nunez-Iglesias, Harriet Dashnow, Stefan Van
Der Walt (Paperback, 2017)

Product Description

Welcome to Scientific Python & its community If you're a scientist who programs with Python this practical guide not only teaches you the fundamental parts of Sci Py & 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 & 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 Sci Py Num Py Pandas scikit-image & other Python libraries Explore the Num Py 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 Sci Py's sparse module Perform linear algebra by using Sci Py packages Explore image alignment (registration) with Sci Py's optimize module Process large datasets with Python data streaming primitives & the Toolz libraryv