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

Elegant SciPy



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Elegant SciPy Juan Nunez-Iglesias, Stefan van der Walt, Harriet Dashnow ebook
Page: 250
Publisher: O'Reilly Media, Incorporated
Format: pdf
ISBN: 9781491922873


I think what you want is flatten(). EG: >>> import numpy as np >>> a = np.array([[1 , 2], [3, 4]]) >>> a.flatten('F') >>> array([1, 3, 2, 4]). Thank you to everyone who has already submitted, retweeted, and spread the word about our book, Elegant SciPy! Juan Nunez-Iglesias gmail.com> 2015-02-06 01:29:15 GMT. Elegant-scipy-submissions - Submissions of code snippets for the book Elegant SciPy. SciPy is my favourite conference. My goal Clarifications about our book, Elegant SciPy (and our call for code submissions)In "programming". Continuum is a sponsor of this year's SciPy Conference in Austin, TX. Call for code nominations for Elegant SciPy! Since slactrac replicates many features of Elegant, and interface to simulations was derived. Slactrac depends on NumPy and SciPy to manipulate data. This method is fairly fast, but I'm very new to Scipy, and would like to know if there's a more elegant, idiomatic way of doing the same thing.





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