Skip to main content

parallel implementations of collections with support for map/reduce style operations

Project description

New in 1.9: parallel strings!

In this package you’ll find very simple parallel implementations of list and dict. The parallelism is achieved using the Python 2.7 backport of the concurrent.futures package. If you can define your problem in terms of map/reduce/filter operations, it will run on several parallel Python processes on your machine, taking advantage of multiple cores. Otherwise these datastructures are equivalent to their non-parallel peers found in the standard library.

Examples at http://gterzian.github.io/Python-Parallel-Collections/

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

python-parallel-collections-0.1.9.1.tar.gz (4.4 kB view details)

Uploaded Source

File details

Details for the file python-parallel-collections-0.1.9.1.tar.gz.

File metadata

File hashes

Hashes for python-parallel-collections-0.1.9.1.tar.gz
Algorithm Hash digest
SHA256 82ca75fb9dfb06044465a670e775aa1ee58165883d7ec8c5e82e32073983f6e4
MD5 3cb3c4c7e39f2e01dc1eb16e7ab5a54f
BLAKE2b-256 ee4eaa90fec97a67210be358fc8a4fef73405f6097d4b52082ebd1a7013f067e

See more details on using hashes here.

Supported by

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