numpy compatibility?

[ssolari]

Any thoughts or plans on addressing numpy compatibility? For analytics, numpy is pretty much required in python. The fact that the future-python module actually breaks code that works AS IS on both python2 and python3 is not good and makes using it frustrating for anyone who uses numpy.

For example a basic record array example will fail. http://docs.scipy.org/doc/numpy/user/basics.rec.html. #196 is a subset of the larger numpy compatibility

Python 2.7.11 |Anaconda 4.0.0 (x86_64)| (default, Dec  6 2015, 18:57:58) 
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IPython 4.1.2 -- An enhanced Interactive Python.
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help      -> Python's own help system.
object?   -> Details about 'object', use 'object??' for extra details.

In [1]: import numpy as np

In [2]: x = np.array([(1, 2., 'Hello'), (2, 3., "World")], dtype=[('foo', 'i4'), ('bar', 'f4'), ('baz', 'S10')])

In [3]: from __future__ import absolute_import, division, print_function, unicode_literals

In [4]: from builtins import *

In [5]: x = np.array([(1, 2., 'Hello'), (2, 3., "World")], dtype=[('foo', 'i4'), ('bar', 'f4'), ('baz', 'S10')])
---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-5-ba687338dd1c> in <module>()
----> 1 x = np.array([(1, 2., 'Hello'), (2, 3., "World")], dtype=[('foo', 'i4'), ('bar', 'f4'), ('baz', 'S10')])

TypeError: data type not understood