pypar - parallel programming with Python Files

Brought to you by: uniomni

The interactive file manager requires Javascript. Please enable it or use sftp or scp.
You may still browse the files here.

Name	Modified	Size	InfoDownloads / Week
pypar	2009-03-02		3
pypar-2.1.4_94.tgz	2009-12-22	114.8 kB	1
Totals: 2 Items		114.8 kB	4

Other Useful Business Software

Build Agents and Models on One Platform

Everything you need to build production-ready agents and models. Access 200+ Google and third-party AI models and tools.

Gemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.

Start Free

$300 Free Credits to Build on Google Cloud

New customers can spin up VMs, build with AI, and query data at no cost.

Put your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.

Start Free

Build Agents and Models on One Platform

Everything you need to build production-ready agents and models. Access 200+ Google and third-party AI models and tools.

Start Free

Recommended Projects

Parallel Colt
Parallel Colt is a multithreaded version of Colt - a library for high performance scientific computing in Java. It contains efficient algorithms for data analysis, linear algebra, multi-dimensional arrays, Fourier transforms, statistics and histogramming
JBox2D
MOVED: We have moved development to Google Code: http://code.google.com/p/jbox2d/
FastFlow: programming multi-core
Pattern-based multi/many-core parallel programming framework
OpenSiteAdmin
This project has moved to Google Code http://code.google.com/p/opensiteadmin/
MPJ Express: Parallel Computing for Java
MPJ Express is an implementation of an MPI-like API—standardized by the Java Grande forum—used to write parallel Java applications, which can execute on a variety of parallel platforms ranging from multicore processors to compute clusters/clouds.