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
Page: 250
Publisher: O'Reilly Media, Incorporated
ISBN: 9781491922873
Format: pdf
Juan Nunez- Iglesias jni.soma at gmail.com. Elegant-scipy-submissions - Submissions of code snippets for the book Elegant SciPy. [melbourne-pug] Call for code nominations for Elegant SciPy! This routine returns the indices and the max value. Key methods of the distribution classes in scipy.stats. Juan Nunez-Iglesias gmail.com> 2015-02-06 01:29:15 GMT. 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)). I have two 2-d numpy arrays with the same dimensions, A and B, and am trying to calculate the row-wise dot product of them. Is >>> there a more elegant way than what I have implemented below using >>> argmax()? Functions which are common and require SciPy Base and Level 1 SciPy This is a more elegant implementation, requiring NumPy >= 1.7.0. Ev-br added the scipy.interpolate label on Aug 24 denfromufa referenced this issue in HarrietInc/elegant-scipy-submissions 16 days ago. Call for code nominations for Elegant SciPy! Is there a more elegant or efficient way? Experience with Python, and a strong understanding of how to apply its capabilities to develop GUIs, work flow frameworks, and elegant scientific applications. Wolfgang Is there an elegant numpy way to do that? Noon Silk noonslists at gmail.com. [Numpy-discussion] fast access and normalizing of ndarray slices.
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