Pakiet: python-joblib-doc (1.3.2-5)

[ Pakiet źródłowy: joblib  ]

tools to provide lightweight pipelining in Python -- docs

Joblib is a set of tools to provide lightweight pipelining in Python. In particular, joblib offers:

 - transparent disk-caching of the output values and lazy
   re-evaluation (memoize pattern)
 - easy simple parallel computing
 - logging and tracing of the execution

Joblib is optimized to be fast and robust in particular on large, long-running functions and has specific optimizations for numpy arrays.

This package contains the documentation for joblib.

Inne pakiety związane z python-joblib-doc

• dep: libjs-sphinxdoc (>= 7.4)

  JavaScript support for Sphinx documentation

• sug: python-numpy-doc

  Fast array facility to the Python language (Documentation)

• sug: python-scipy-doc

  scientific library for Python - documentation

• sug: python3-doc

  documentation for the high-level object-oriented language Python 3

• sug: python3-joblib

  tools to provide lightweight pipelining in Python

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