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numpy 1.12.0b1

NumPy: array processing for numbers, strings, records, and objects.

NumPy is a general-purpose array-processing package designed to efficiently manipulate large multi-dimensional arrays of arbitrary records without sacrificing too much speed for small multi-dimensional arrays. NumPy is built on the Numeric code base and adds features introduced by numarray as well as an extended C-API and the ability to create arrays of arbitrary type which also makes NumPy suitable for interfacing with general-purpose data-base applications.

There are also basic facilities for discrete fourier transform, basic linear algebra and random number generation.

All numpy wheels distributed from pypi are BSD licensed.

Windows wheels are linked against the ATLAS BLAS / LAPACK library, restricted to SSE2 instructions, so may not give optimal linear algebra performance for your machine. See http://docs.scipy.org/doc/numpy/user/install.html for alternatives.

 
File Type Py Version Uploaded on Size
numpy-1.12.0b1-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 (md5, pgp) Python Wheel cp27 2016-11-17 4MB
numpy-1.12.0b1-cp27-cp27m-manylinux1_i686.whl (md5, pgp) Python Wheel cp27 2016-11-17 11MB
numpy-1.12.0b1-cp27-cp27m-manylinux1_x86_64.whl (md5, pgp) Python Wheel cp27 2016-11-17 15MB
numpy-1.12.0b1-cp27-cp27mu-manylinux1_i686.whl (md5, pgp) Python Wheel cp27 2016-11-17 11MB
numpy-1.12.0b1-cp27-cp27mu-manylinux1_x86_64.whl (md5, pgp) Python Wheel cp27 2016-11-17 15MB
numpy-1.12.0b1-cp27-none-win32.whl (md5, pgp) Python Wheel cp27 2016-11-17 6MB
numpy-1.12.0b1-cp27-none-win_amd64.whl (md5, pgp) Python Wheel cp27 2016-11-17 7MB
numpy-1.12.0b1-cp34-cp34m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl (md5, pgp) Python Wheel cp34 2016-11-17 4MB
numpy-1.12.0b1-cp34-cp34m-manylinux1_i686.whl (md5, pgp) Python Wheel cp34 2016-11-17 12MB
numpy-1.12.0b1-cp34-cp34m-manylinux1_x86_64.whl (md5, pgp) Python Wheel cp34 2016-11-17 16MB
numpy-1.12.0b1-cp34-none-win32.whl (md5, pgp) Python Wheel cp34 2016-11-17 6MB
numpy-1.12.0b1-cp34-none-win_amd64.whl (md5, pgp) Python Wheel cp34 2016-11-17 7MB
numpy-1.12.0b1-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 (md5, pgp) Python Wheel cp35 2016-11-17 4MB
numpy-1.12.0b1-cp35-cp35m-manylinux1_i686.whl (md5, pgp) Python Wheel cp35 2016-11-17 12MB
numpy-1.12.0b1-cp35-cp35m-manylinux1_x86_64.whl (md5, pgp) Python Wheel cp35 2016-11-17 15MB
numpy-1.12.0b1-cp35-none-win32.whl (md5, pgp) Python Wheel cp35 2016-11-17 6MB
numpy-1.12.0b1-cp35-none-win_amd64.whl (md5, pgp) Python Wheel cp35 2016-11-17 7MB
numpy-1.12.0b1.tar.gz (md5, pgp) Source 2016-11-17 4MB
numpy-1.12.0b1.zip (md5, pgp) Source 2016-11-17 4MB