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.

Files for lazyarray, version 0.3.3
Filename, size & hash File type Python version Upload date
lazyarray-0.3.3.tar.gz (21.0 kB) View hashes 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