Skip to main content

NumPy is the fundamental package for array computing with Python.

Project description

It provides:

  • a powerful N-dimensional array object
  • sophisticated (broadcasting) functions
  • tools for integrating C/C++ and Fortran code
  • useful linear algebra, Fourier transform, and random number capabilities
  • and much more

Besides its obvious scientific uses, NumPy can also be used as an efficient multi-dimensional container of generic data. Arbitrary data-types can be defined. This allows NumPy to seamlessly and speedily integrate with a wide variety of databases.

All NumPy wheels distributed on PyPI are BSD licensed.

Release history Release notifications

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Filename, size & hash SHA256 hash help File type Python version Upload date
numpy-1.16.1-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 (13.9 MB) Copy SHA256 hash SHA256 Wheel cp27
numpy-1.16.1-cp27-cp27m-manylinux1_i686.whl (14.5 MB) Copy SHA256 hash SHA256 Wheel cp27
numpy-1.16.1-cp27-cp27m-manylinux1_x86_64.whl (17.0 MB) Copy SHA256 hash SHA256 Wheel cp27
numpy-1.16.1-cp27-cp27mu-manylinux1_i686.whl (14.5 MB) Copy SHA256 hash SHA256 Wheel cp27
numpy-1.16.1-cp27-cp27mu-manylinux1_x86_64.whl (17.0 MB) Copy SHA256 hash SHA256 Wheel cp27
numpy-1.16.1-cp27-cp27m-win32.whl (10.0 MB) Copy SHA256 hash SHA256 Wheel cp27
numpy-1.16.1-cp27-cp27m-win_amd64.whl (11.8 MB) Copy SHA256 hash SHA256 Wheel cp27
numpy-1.16.1-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 (13.9 MB) Copy SHA256 hash SHA256 Wheel cp35
numpy-1.16.1-cp35-cp35m-manylinux1_i686.whl (14.7 MB) Copy SHA256 hash SHA256 Wheel cp35
numpy-1.16.1-cp35-cp35m-manylinux1_x86_64.whl (17.2 MB) Copy SHA256 hash SHA256 Wheel cp35
numpy-1.16.1-cp35-cp35m-win32.whl (10.0 MB) Copy SHA256 hash SHA256 Wheel cp35
numpy-1.16.1-cp35-cp35m-win_amd64.whl (11.9 MB) Copy SHA256 hash SHA256 Wheel cp35
numpy-1.16.1-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 (13.9 MB) Copy SHA256 hash SHA256 Wheel cp36
numpy-1.16.1-cp36-cp36m-manylinux1_i686.whl (14.8 MB) Copy SHA256 hash SHA256 Wheel cp36
numpy-1.16.1-cp36-cp36m-manylinux1_x86_64.whl (17.3 MB) Copy SHA256 hash SHA256 Wheel cp36
numpy-1.16.1-cp36-cp36m-win32.whl (10.0 MB) Copy SHA256 hash SHA256 Wheel cp36
numpy-1.16.1-cp36-cp36m-win_amd64.whl (11.9 MB) Copy SHA256 hash SHA256 Wheel cp36
numpy-1.16.1-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 (13.9 MB) Copy SHA256 hash SHA256 Wheel cp37
numpy-1.16.1-cp37-cp37m-manylinux1_i686.whl (14.8 MB) Copy SHA256 hash SHA256 Wheel cp37
numpy-1.16.1-cp37-cp37m-manylinux1_x86_64.whl (17.3 MB) Copy SHA256 hash SHA256 Wheel cp37
numpy-1.16.1-cp37-cp37m-win32.whl (10.0 MB) Copy SHA256 hash SHA256 Wheel cp37
numpy-1.16.1-cp37-cp37m-win_amd64.whl (11.9 MB) Copy SHA256 hash SHA256 Wheel cp37
numpy-1.16.1.zip (5.1 MB) Copy SHA256 hash SHA256 Source None

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN SignalFx SignalFx Supporter DigiCert DigiCert EV certificate StatusPage StatusPage Status page