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
ISBN: 9781491922873
Page: 250
Format: pdf
Publisher: O'Reilly Media, Incorporated


Functions which are common and require SciPy Base and Level 1 SciPy This is a more elegant implementation, requiring NumPy >= 1.7.0. Is >>> there a more elegant way than what I have implemented below using >>> argmax()? Elegant-scipy-submissions - Submissions of code snippets for the book Elegant SciPy. 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. Previous message: [SciPy-User] Call for code nominations for Elegant SciPy! [Numpy-discussion] fast access and normalizing of ndarray slices. Wolfgang Is there an elegant numpy way to do that? 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. Over the past few weeks, I've been heavily promoting the SciPy conference, a meeting about 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)). Key methods of the distribution classes in scipy.stats. This routine returns the indices and the max value. [SciPy-User] Call for code nominations for Elegant SciPy!.





Download Elegant SciPy for mac, kobo, reader for free
Buy and read online Elegant SciPy book
Elegant SciPy ebook zip djvu rar epub mobi pdf