Elegant SciPy: The Art of Scientific Python

Elegant SciPy: The Art of Scientific Python

<p>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.</p><p>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.</p><ul><li>Explore the NumPy array, the data structure that underlies numerical scientific computation</li><li>Use quantile normalization to ensure that measurements fit a specific distribution</li><li>Represent separate regions in an image with a Region Adjacency Graph</li><li>Convert temporal or spatial data into frequency domain data with the Fast Fourier Transform</li><li>Solve sparse matrix problems, including image segmentations, with SciPy’s <i>sparse</i> module</li><li>Perform linear algebra by using SciPy packages</li><li>Explore image alignment (registration) with SciPy’s <i>optimize</i> module</li><li>Process large datasets with Python data streaming primitives and the Toolz library</li></ul>