tinynumpy
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A lightweight, pure Python, numpy compliant ndarray class.
for example: n [112]: arr = np.arange(12).reshape(3,4) In [113]: i = np.array([True,False,True]) In [114]: i.nonzero() Out[114]: (array([0, 2]),) In [115]: arr[i] Out[115]: array([[ 0, 1, 2, 3], [ 8, 9,...
https://docs.scipy.org/doc/numpy/user/basics.types.html Many of these can be implemented using the [standard ctype module](https://docs.python.org/3/library/ctypes.html) (e.g.: `numpy.uint16` equals to `ctypes.c_ushort`.)
New PR with changes by @karimbahgat, CI enabled and merged to master. Added: - more clearly dividing/grouping the various funcs and methods with comments - array comparison funcs - array...
http://docs.scipy.org/doc/numpy/reference/routines.math.html Some exist already. Most of these look pretty straightforward to implement.
http://docs.scipy.org/doc/numpy/reference/routines.window.html Not sure how useful they are but they look absolutely trivial to write.
http://docs.scipy.org/doc/numpy/reference/routines.sort.html Identify and implement most useful functions.
http://docs.scipy.org/doc/numpy/reference/routines.statistics.html Many of these are done already. Check to see whether any others seem useful and work implementing.
http://docs.scipy.org/doc/numpy/reference/routines.random.html Need to identify most useful distributions.