Skip to main content

Choose your favorite numpy-workalike

Project description

Gitlab Build Status Github Build Status Python Package Index Release Page

GPU arrays? Deferred-evaluation arrays? Just plain numpy arrays? You’d like your code to work with all of them? No problem! Comes with pre-made array context implementations for:

  • numpy

  • PyOpenCL

  • Pytato (for lazy/deferred evaluation)

  • Debugging

  • Profiling

arraycontext started life as an array abstraction for use with the meshmode unstrucuted discretization package.

Distributed under the MIT license.

Project details


Download files

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

Source Distribution

arraycontext-2021.1.tar.gz (29.7 kB view details)

Uploaded Source

File details

Details for the file arraycontext-2021.1.tar.gz.

File metadata

  • Download URL: arraycontext-2021.1.tar.gz
  • Upload date:
  • Size: 29.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/44.0.0 requests-toolbelt/0.9.1 tqdm/4.57.0 CPython/3.9.2

File hashes

Hashes for arraycontext-2021.1.tar.gz
Algorithm Hash digest
SHA256 face4eccfd89ef2bcf3186e6941feab31697c95626803cf775eb78f0db213330
MD5 7914a082163cdf201cbb5200e9dae994
BLAKE2b-256 012fe8f1e7f15a7c94869660ba0a12314407f651c4ea42c8431b6f6357434b76

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page