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

Elegant SciPy



Download Elegant SciPy

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


My goal Clarifications about our book, Elegant SciPy (and our call for code submissions)In "programming". [Numpy-discussion] fast access and normalizing of ndarray slices. Is there a more elegant or efficient way? Elegant-scipy-submissions - Submissions of code snippets for the book Elegant SciPy. Val Kalatsky Is there an >> elegant numpy way to do that? Thank you to everyone who has already submitted, retweeted, and spread the word about our book, Elegant SciPy! For a (10,10) range(100) In [201]: np.nonzero(a>100) Out[201]: (array([], dtype= int32), array([], dtype=int32)). SciPy is my favourite conference. Call for code nominations for Elegant SciPy! Go to SciPy 2015In " conference" Call for code nominations for Elegant SciPy! The SciPy ecosystem belongs to everyone Related. Over the past few weeks, I've been heavily promoting the SciPy conference, a meeting about Call for code nominations for Elegant SciPy! Juan Nunez-Iglesias gmail.com> 2015-02-06 01:29:15 GMT. Key methods of the distribution classes in scipy.stats. Assuming you mean to have data1 and data2 as arrays of the same size (which would change your example to read): data2 = np.ones((4, 5)). ~@jnuneziglesias @hdashnow & I are writing a book: Elegant Scipy.





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