Elegant SciPy. Juan Nunez-Iglesias, Stefan van der Walt, Harriet Dashnow

Elegant SciPy


Elegant.SciPy.pdf
ISBN: 9781491922873 | 250 pages | 7 Mb


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Elegant SciPy Juan Nunez-Iglesias, Stefan van der Walt, Harriet Dashnow
Publisher: O'Reilly Media, Incorporated



Thank you to everyone who has already submitted, retweeted, and spread the word about our book, Elegant SciPy! Elegant-scipy-submissions - Submissions of code snippets for the book Elegant SciPy. I present tool for working with digital signals using NumPy, SciPy and IPython. ~@jnuneziglesias @hdashnow & I are writing a book: Elegant Scipy. I think what you want is flatten(). Call for code nominations for Elegant SciPy! Juan Nunez-Iglesias gmail.com> 2015-02-06 01:29:15 GMT. This routine returns the indices and the max value. [SciPy-User] Call for code nominations for Elegant SciPy!. Matlab, Elegant matrix support; visualization, Expensive; incomplete statistics support, No, Engineering. EG: >>> import numpy as np >>> a = np.array([[1 , 2], [3, 4]]) >>> a.flatten('F') >>> array([1, 3, 2, 4]). Is >>> there a more elegant way than what I have implemented below using >>> argmax()?





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