Skip to main content

A multiprocess framework for efficient calculations.

Project description

A collection of speed ups that make full use of multiprocess and hyperthreaded systems. Caveat aliquam, here there be experiments.

Available from PyPI, and easily installed through pip install PySpeedup. Documentation available at Read The Docs and source available on Github.

Project details


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
PySpeedup-0.1.0.1.zip (28.5 kB) Copy SHA256 hash SHA256 Source None Aug 21, 2014

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