Elegant SciPy Juan Nunez-Iglesias, Stefan van der Walt, Harriet Dashnow
Publisher: O'Reilly Media, Incorporated

Call for code nominations for Elegant SciPy! Elegant-scipy-submissions - Submissions of code snippets for the book Elegant SciPy. Massive Standard Scipy builds on established LAPACK and. I think what you want is flatten(). [SciPy-User] Call for code nominations for Elegant SciPy!. Slactrac depends on NumPy and SciPy to manipulate data. [Numpy-discussion] fast access and normalizing of ndarray slices. This routine returns the indices and the max value. 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()? >>> from scipy.optimize import brute >>> a,f,g,j = brute(my_func,[param1_list,param2_list,. Val Kalatsky Is there an >> elegant numpy way to do that? I present tool for working with digital signals using NumPy, SciPy and IPython. Since slactrac replicates many features of Elegant, and interface to simulations was derived. EG: >>> import numpy as np >>> a = np.array([[1 , 2], [3, 4]]) >>> a.flatten('F') >>> array([1, 3, 2, 4]). Juan Nunez-Iglesias gmail.com> 2015-02-06 01:29:15 GMT. I think scipy.optimize.brute is what you're after. Previous message: [SciPy-User] Call for code nominations for Elegant SciPy! Thank you to everyone who has already submitted, retweeted, and spread the word about our book, Elegant SciPy! Continuum is a sponsor of this year's SciPy Conference in Austin, TX.