Tweets about SciPy (Scientific Python) and related topics from @JohnDCook.

Houston
Can compute eigenvalues and eigenvectors with linalg.eig().
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Histogram bin heuristic: numpy.histogram_bin_edges(x, bins='fd') uses Freedman–Diaconis rule.
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np.unique returns the unique elements of an array in sorted order.
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np.linalg.pinv computes the Moore-Penrose pseudo inverse of a matrix.
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numpy.random.zipf(a, n) generates n samples from a discrete power law with exponent a.
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np.nan_to_num() replaces nan with 0, inf with max float, and -inf with min float.
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Latin hypercube: scipy.stats.qmc.LatinHypercube(d).random(n) is a solid design-of-experiments default.
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Lambert W poster: orcca.on.ca/LambertW/ scipy.special.lambertw
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linalg.lstsq can solve over-determined linear systems. (lstsq ~ least squares)
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Interested in DSP? See SciPy's signal and ndimage subpackages.
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The function scipy.special.comb(n, k) returns binomial coefficients.
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MATLAB synonymous commands in Python/NumPy mathesaurus.sourceforge.net/
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Can solve a linear system Ax = b with linalg.solve(A, b).
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ATLAS: Automatically Tuned Linear Algebra Software math-atlas.sourceforge.net/
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Interested in splines? See SciPy's interpolate subpackage.
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