Metadata-Version: 1.2
Name: pqdm
Version: 0.0.1
Summary: PQDM is a TQDM and concurrent futures wrapper to allow enjoyable paralellization of progress bars.
Home-page: https://github.com/niedakh/pqdm
Author: Piotr Szymański
Author-email: niedakh@gmail.com
License: MIT license
Description: =============
        Parallel TQDM
        =============
        
        
        .. image:: https://img.shields.io/pypi/v/pqdm.svg
                :target: https://pypi.python.org/pypi/pqdm
        
        .. image:: https://img.shields.io/travis/niedakh/pqdm.svg
                :target: https://travis-ci.com/niedakh/pqdm
        
        .. image:: https://readthedocs.org/projects/pqdm/badge/?version=latest
                :target: https://pqdm.readthedocs.io/en/latest/?badge=latest
                :alt: Documentation Status
        
        
        .. image:: https://pyup.io/repos/github/niedakh/pqdm/shield.svg
             :target: https://pyup.io/repos/github/niedakh/pqdm/
             :alt: Updates
        
        
        
        PQDM is a TQDM and concurrent futures wrapper to allow enjoyable paralellization of progress bars.
        
        
        * Free software: MIT license
        * Documentation: https://pqdm.readthedocs.io.
        
        
        Install & Use
        -------------
        
        To install ::
        
            pip install pqdm
        
        
        and use ::
        
            from pqdm.processes import pqdm
            # If you want threads instead:
            # from pqdm.threads import pqdm
        
            args_1 = [1, 2, 3]
            args_2 = [2, 3, 4]
        
            def multiply(a,b):
                return a*b
        
            pqdm(zip(args_1, args_2), argument_type='args', n_jobs=2)
        
        
        Features
        --------
        
        * parellize your tqdm runs using processes or threads thanks to concurrent.futures,
        * just import ``pqdm`` from ```pqdm.threads``` or ```pqdm.processes``` to start,
        * automatic usage of ```tqdm.notebook``` when iPython/Jupyter notebook environment detected,
        * automatic parsing of ```pqdm``` kwargs and separating between ```concurrent.Executor``` args and ```tqdm``` args,
        * support for any iterable and passing items as kwargs, args or directly to function which is being applied
        * support bounded exectutors via https://github.com/mowshon/bounded_pool_executor
        
        Credits
        -------
        
        Written by Piotr Szymański <niedakh@gmail.com>.
        
        This package was created with Cookiecutter_ and the `audreyr/cookiecutter-pypackage`_ project template.
        
        .. _Cookiecutter: https://github.com/audreyr/cookiecutter
        .. _`audreyr/cookiecutter-pypackage`: https://github.com/audreyr/cookiecutter-pypackage
        
        
        =======
        History
        =======
        
        0.0.1 (2020-03-05)
        ------------------
        
        * First release on PyPI.
        
Keywords: pqdm
Platform: UNKNOWN
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Requires-Python: >=3.5
