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
Format: pdf
ISBN: 9781491922873
Juan Nunez-Iglesias gmail.com> 2015-02-06 01:29:15 GMT. I think what you want is flatten(). Hi all, Juan Nunez-Iglesias, Stéfan van der Walt, and I will be writing an O'Reilly book about the SciPy library and the surrounding ecosystem. [Numpy-discussion] fast access and normalizing of ndarray slices. Now this isn't particularly elegant code, and I apologize for the lack of an example plot. Elegant-scipy-submissions - Submissions of code snippets for the book Elegant SciPy. Continuum is a sponsor of this year's SciPy Conference in Austin, TX. Val Kalatsky Is there an >> elegant numpy way to do that? If you are new to Numeric computing with Python, you should use NumPy. Scipy.ndimage provides a suitable function, generic_filter . Noon Silk noonslists at gmail.com. Previous message: [SciPy-User] ANN: imageio v1.1; Next message: [SciPy-User] Call for code nominations for Elegant SciPy! EG: >>> import numpy as np >>> a = np.array([[1 , 2], [3, 4]]) >>> a.flatten('F') >>> array([1, 3, 2, 4]). O'Reilly book about the SciPy library > and the surrounding ecosystem. He chose the former, and produced extremely elegant code. [melbourne-pug] Call for code nominations for Elegant SciPy! Key methods of the distribution classes in scipy.stats. [Discuss] [OFF-TOPIC] Call for code nominations for Elegant SciPy! 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.
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