basicParallelize 1.0.0

Wrappers for multiprocessing's Pool and ThreadPool classes.

Parallelize: A Basic Wrapper for Multiprocessing

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parallelize is designed to provide a user friendly wrapper for Python's multiprocessing library, including support for progress bars from tqdm.

    # Wrapper for multiprocessing.pool.ThreadPool
    from parallelize import multiThread
    output = multiThread(function, parameters)

    # Wrapper for multiprocessing.Pool
    from parallelize import parallelProcess
    output = multiProcess(function, parameters)

Both core functions can be run with a built in progress bars by instead using multiThreadTQDM or parallelProcessTQDM respectively.

Installation

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A recent version of Python 3 (3.8 or above) is required. You can probably run it or easily adapt it for older versions of Python, but I don't support any end-of-life Python versions. Beyond that, the only dependency is the tqdm library.

Latest stable version on PyPi

pip install parallelize

Latest stable version on GitHub

pip install git+https://github.com/jBeale23/parallelize.git@stable