套件：python-ppft-doc（1.7.6.9+dfsg-1）

Distributed and parallel Python (documentation)

ppft is a friendly fork of Parallel Python. It provides:

 * parallel execution of Python code on SMP and clusters
 * easy-to-understand job-based parallelization
 * automatic detection of the number of effective processors
 * dynamic processor allocation (at runtime)
 * low overhead for jobs with the same function (through transparent caching)
 * dynamic load balancing (jobs are distributed at runtime)
 * fault-tolerance (if a node fails, tasks are rescheduled on the others)
 * auto-discovery of computational resources
 * dynamic allocation of computational resources
 * SHA based authentication for network connections
 * enhanced serialization, using dill.source

ppft is part of pathos, a Python framework for heterogeneous computing.

This package contains the ppft documentation in HTML format.

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