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