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1.16.3 numpy-1.16.3-cp37-cp37m-manylinux1_x86_64.whl
numpy-1.16.3-cp37-cp37m-manylinux1_i686.whl
numpy-1.16.3-cp37-cp37m-win_amd64.whl
numpy-1.16.3-cp37-cp37m-win32.whl
numpy-1.16.3-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-1.16.3-cp36-cp36m-manylinux1_x86_64.whl
numpy-1.16.3-cp36-cp36m-manylinux1_i686.whl
numpy-1.16.3-cp36-cp36m-win_amd64.whl
numpy-1.16.3-cp36-cp36m-win32.whl
numpy-1.16.3-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-1.16.3-cp35-cp35m-manylinux1_x86_64.whl
numpy-1.16.3-cp35-cp35m-manylinux1_i686.whl
numpy-1.16.3-cp35-cp35m-win_amd64.whl
numpy-1.16.3-cp35-cp35m-win32.whl
numpy-1.16.3-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-1.16.3-cp27-cp27mu-manylinux1_x86_64.whl
numpy-1.16.3-cp27-cp27m-manylinux1_x86_64.whl
numpy-1.16.3-cp27-cp27mu-manylinux1_i686.whl
numpy-1.16.3-cp27-cp27m-manylinux1_i686.whl
numpy-1.16.3-cp27-cp27m-win_amd64.whl
numpy-1.16.3-cp27-cp27m-win32.whl
numpy-1.16.3-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
1.16.2 numpy-1.16.2-cp37-cp37m-manylinux1_x86_64.whl
numpy-1.16.2-cp37-cp37m-manylinux1_i686.whl
numpy-1.16.2-cp37-cp37m-win_amd64.whl
numpy-1.16.2-cp37-cp37m-win32.whl
numpy-1.16.2-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-1.16.2-cp36-cp36m-manylinux1_x86_64.whl
numpy-1.16.2-cp36-cp36m-manylinux1_i686.whl
numpy-1.16.2-cp36-cp36m-win_amd64.whl
numpy-1.16.2-cp36-cp36m-win32.whl
numpy-1.16.2-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-1.16.2-cp35-cp35m-manylinux1_x86_64.whl
numpy-1.16.2-cp35-cp35m-manylinux1_i686.whl
numpy-1.16.2-cp35-cp35m-win_amd64.whl
numpy-1.16.2-cp35-cp35m-win32.whl
numpy-1.16.2-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-1.16.2-cp27-cp27mu-manylinux1_x86_64.whl
numpy-1.16.2-cp27-cp27m-manylinux1_x86_64.whl
numpy-1.16.2-cp27-cp27mu-manylinux1_i686.whl
numpy-1.16.2-cp27-cp27m-manylinux1_i686.whl
numpy-1.16.2-cp27-cp27m-win_amd64.whl
numpy-1.16.2-cp27-cp27m-win32.whl
numpy-1.16.2-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: 1.16.3
Filename: numpy-1.16.3-cp37-cp37m-manylinux1_x86_64.whl
Download: [link]
Size: 17322873
MD5: 4e907ac7d841018c0a9130ca45d099ee
SHA256: 5a8f021c70e6206c317974c93eaaf9bc2b56295b6b1cacccf88846e44a1f33fc
Uploaded: 2019-04-22T01:41:45

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