Skip to main content

a Python package that provides a lazily-evaluated numerical array class, larray, based on and compatible with NumPy arrays.

Project description

lazyarray is a Python package that provides a lazily-evaluated numerical array class, larray, based on and compatible with NumPy arrays.

Lazy evaluation means that any operations on the array (potentially including array construction) are not performed immediately, but are delayed until evaluation is specifically requested. Evaluation of only parts of the array is also possible.

Use of an larray can potentially save considerable computation time and memory in cases where:

  • arrays are used conditionally (i.e. there are cases in which the array is never used)

  • only parts of an array are used (for example in distributed computation, in which each MPI node operates on a subset of the elements of the array)

https://readthedocs.org/projects/lazyarray/badge/?version=latest https://travis-ci.org/NeuralEnsemble/lazyarray.svg?branch=master https://coveralls.io/repos/github/NeuralEnsemble/lazyarray/badge.svg?branch=master

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

lazyarray-0.3.2.tar.gz (20.4 kB view details)

Uploaded Source

File details

Details for the file lazyarray-0.3.2.tar.gz.

File metadata

  • Download URL: lazyarray-0.3.2.tar.gz
  • Upload date:
  • Size: 20.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for lazyarray-0.3.2.tar.gz
Algorithm Hash digest
SHA256 be980534c5950a976709085570f69be9534bdf0f3e5c21a9113de3ee2052683e
MD5 439daa5d560ed712d1a86f37bb316a6a
BLAKE2b-256 a0c54cac8d8749bea1e675aa97232e7eaa1e340b5bd56a041268eb48c8dc523c

See more details on using hashes here.

Provenance

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