Elegant SciPy by Juan Nunez-Iglesias, Stefan van der Walt, Harriet Dashnow
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Elegant SciPy Juan Nunez-Iglesias, Stefan van der Walt, Harriet Dashnow ebook
Format: pdf
ISBN: 9781491922873
Page: 250
Publisher: O'Reilly Media, Incorporated
~@jnuneziglesias @hdashnow & I are writing a book: Elegant Scipy. Elegant-scipy-submissions - Submissions of code snippets for the book Elegant SciPy. Juan Nunez-Iglesias gmail.com> 2015-02-06 01:29:15 GMT. EG: >>> import numpy as np >>> a = np.array([[1 , 2], [3, 4]]) >>> a.flatten('F') >>> array([1, 3, 2, 4]). Now this isn't particularly elegant code, and I apologize for the lack of an example plot. Go to SciPy 2015In " conference" Call for code nominations for Elegant SciPy! For a (10,10) range(100) In [201]: np.nonzero(a>100) Out[201]: (array([], dtype= int32), array([], dtype=int32)). Call for code nominations for Elegant SciPy! The SciPy ecosystem belongs to everyone Related. Library lets you seamlessly read microscopy images into numpy arrays from 2015 debrief · Call for code nominations for Elegant SciPy! Is there a more elegant or efficient way? [Numpy-discussion] fast access and normalizing of ndarray slices. Val Kalatsky Is there an >> elegant numpy way to do that? I think what you want is flatten(). Writing an O'Reilly book about the SciPy library and the surrounding ecosystem . Calling out SciPy on diversity (even though it hurts) Clarifications about our book, Elegant SciPy (and our call for code submissions).
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