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numpy

1.16.4	numpy-1.16.4-cp37-cp37m-manylinux1_x86_64.whl
	numpy-1.16.4-cp37-cp37m-manylinux1_i686.whl
	numpy-1.16.4-cp37-cp37m-win_amd64.whl
	numpy-1.16.4-cp37-cp37m-win32.whl
	numpy-1.16.4-cp37-cp37m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl
	numpy-1.16.4-cp36-cp36m-manylinux1_x86_64.whl
	numpy-1.16.4-cp36-cp36m-manylinux1_i686.whl
	numpy-1.16.4-cp36-cp36m-win_amd64.whl
	numpy-1.16.4-cp36-cp36m-win32.whl
	numpy-1.16.4-cp36-cp36m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl
	numpy-1.16.4-cp35-cp35m-manylinux1_x86_64.whl
	numpy-1.16.4-cp35-cp35m-manylinux1_i686.whl
	numpy-1.16.4-cp35-cp35m-win_amd64.whl
	numpy-1.16.4-cp35-cp35m-win32.whl
	numpy-1.16.4-cp35-cp35m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl
	numpy-1.16.4-cp27-cp27mu-manylinux1_x86_64.whl
	numpy-1.16.4-cp27-cp27m-manylinux1_x86_64.whl
	numpy-1.16.4-cp27-cp27mu-manylinux1_i686.whl
	numpy-1.16.4-cp27-cp27m-manylinux1_i686.whl
	numpy-1.16.4-cp27-cp27m-win_amd64.whl
	numpy-1.16.4-cp27-cp27m-win32.whl
	numpy-1.16.4-cp27-cp27m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl

Wheel Details

Project:	numpy
Version:	1.16.4
Filename:	numpy-1.16.4-cp37-cp37m-manylinux1_x86_64.whl
Download:	[link]
Size:	17332952
MD5:	`e98fc6a8d90ff7ed26d0ed7faad3aa8d`
SHA256:	`cbddc56b2502d3f87fda4f98d948eb5b11f36ff3902e17cb6cc44727f2200525`
Uploaded:	2019-05-28T19:10:22

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