parallel support for map/reduce style operations
Project description
- This package provides a convenient interface to perform map/filter/reduce style operation on standard Python data structures and generators in multiple processes.
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.
Examples at https://github.com/gterzian/Python-Parallel-Collections Feedback and contributions highly sought after!
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
File details
Details for the file python-parallel-collections-2.0.0.tar.gz.
File metadata
- Download URL: python-parallel-collections-2.0.0.tar.gz
- Upload date:
- Size: 6.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
7de87661ea9ece17395a27d71851f344672d5440043aba1bb3607a9106e2ccac
|
|
| MD5 |
f6fb727da919be3a0a7c6f50bf4eede0
|
|
| BLAKE2b-256 |
b3c3a04fac1a6e2001d0cb79ab29d5e73511628f3991c312f57624fbb16e6344
|
