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
Format: pdf
Publisher: O'Reilly Media, Incorporated
ISBN: 9781491922873


For a (10,10) range(100) In [201]: np.nonzero(a>100) Out[201]: (array([], dtype= int32), array([], dtype=int32)). Elegant-scipy-submissions - Submissions of code snippets for the book Elegant SciPy. [Discuss] [OFF-TOPIC] Call for code nominations for Elegant SciPy! Call for code nominations for Elegant SciPy! ~@jnuneziglesias @hdashnow & I are writing a book: Elegant Scipy. [SciPy-User] Call for code nominations for Elegant SciPy!. 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. Slactrac depends on NumPy and SciPy to manipulate data. O'Reilly book about the SciPy library > and the surrounding ecosystem. Previous message: [SciPy-User] ANN: imageio v1.1; Next message: [SciPy-User] Call for code nominations for Elegant SciPy! Experience with Python, and a strong understanding of how to apply its capabilities to develop GUIs, work flow frameworks, and elegant scientific applications. 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)). Since slactrac replicates many features of Elegant, and interface to simulations was derived.





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