Welcome to Scientific Python and its community. If youâ??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. Youâ??ll learn how to write elegant code thatâ??s clear, concise, and efficient at executing the task at hand.

Throughout the book, youâ??ll work with examples from the wider scientific Python ecosystem, using code that illustrates principles outlined in the book. Using actual scientific data, youâ??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 SciPyâ??s

sparse

module

Perform linear algebra by using SciPy packages

Explore image alignment (registration) with SciPyâ??s

optimize

module

Process large datasets with Python data streaming primitives and the Toolz library

Також купити книгу Elegant SciPy: The Art of Scientific Python, Juan Nunez-Iglesias, Stéfan van der Walt, Harriet Dashnow, more Ви можете по посиланню