Version 1.6.dev0

Joblib documentation

Joblib is a package for parallel computing and disk-based caching in Python. It is optimized to be fast and robust on large data in particular and has specific optimizations for numpy arrays. Joblib leaves your code and your flow control as unmodified as possible. It is BSD-licensed.

Disk-based caching

Using Memory for disk-based caching

user_guide/memory.html

Embarrassingly parallel

Using Parallel for multiprocessing parallel loops

user_guide/parallel.html

Parallel backend

Using your own parallel processing backend

user_guide/custom_parallel_backend.html

API

references.html

Examples

auto_examples/index.html

Release Notes

CHANGES.html

Get Joblib

Joblib can be installed with pip, as it only relies on python files.

pip install joblib