Gleanings of Python

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ctrl + left click in Spyder can quickly go to the related file.
kwargs: key word arguments
take in numpy: Return an array formed from the elements of a at the given in indices.

import numpy as npa = np.asarray(range(10) - 9)b = a.take([2,3])output:array([-7, -6])

c_, r_
help(np.c_):

 Translates slice objects to concatenation along the second axis. |   |  This is short-hand for ``np.r_['-1,2,0', index expression]``, which is |  useful because of its common occurrence. In particular, arrays will be |  stacked along their last axis after being upgraded to at least 2-D with |  1's post-pended to the shape (column vectors made out of 1-D arrays). |   |  For detailed documentation, see `r_`. |   |  Examples |  -------- |  >>> np.c_[np.array([[1,2,3]]), 0, 0, np.array([[4,5,6]])] |  array([[1, 2, 3, 0, 0, 4, 5, 6]])

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