4 Commits

Author SHA1 Message Date
shadchin
fa948278d8 Update to py-numexpr 2.6.4 2018-02-23 16:45:26 +00:00
sthen
5e964ab0df bump LIBCXX/LIBECXX/COMPILER_LIBCXX ports. 2017-07-26 22:45:14 +00:00
espie
8ac47fd9c6 use COMPILER_LIBCXX where applicable 2017-07-16 19:18:47 +00:00
shadchin
d84983268e Import py-numexpr 2.6.2, ok daniel@
Numexpr is a fast numerical expression evaluator for NumPy. With it,                                                                                                   expressions that operate on arrays (like "3*a+4*b") are accelerated                                                                                                    and use less memory than doing the same calculation in Python.                                                                                                                                                                                                                                                                                In addition, its multi-threaded capabilities can make use of all your                                                                                                  cores, which may accelerate computations, most specially if they are                                                                                                   not memory-bounded (e.g. those using transcendental functions).
2017-04-23 17:45:20 +00:00