semvec/pypi-packages huggingface dataset:
django-outbox-middleware 0.2.2
Your project description goes here
License: MIT
Keywords: django-outbox-middleware

=============================
Django Outbox Middleware
=============================

.. image:: https://badge.fury.io/py/django-outbox-middleware.svg
    :target: https://badge.fury.io/py/django-outbox-middleware

.. image:: https://travis-ci.org/ArtProcessors/django-outbox-middleware.svg?branch=master
    :target: https://travis-ci.org/ArtProcessors/django-outbox-middleware

.. image:: https://codecov.io/gh/ArtProcessors/django-outbox-middleware/branch/master/graph/badge.svg
    :target: https://codecov.io/gh/ArtProcessors/django-outbox-middleware

Your project description goes here

Documentation
-------------

The full documentation is at https://django-outbox-middleware.readthedocs.io.

Quickstart
----------

Install Django Outbox Middleware::

    pip install django-outbox-middleware

Add it to your `INSTALLED_APPS`:

.. code-block:: python

    INSTALLED_APPS = (
        ...
        'django_outbox_middleware.apps.DjangoOutboxMiddlewareConfig',
        ...
    )

Add it to your `MIDDLEWARE`:

.. code-block:: python

    # if django.VERSION >= (1, 10)
    MIDDLEWARE (
        ...
        'django_outbox_middleware.middleware.OutboxMiddleware',
        ...
    )
    # else
    MIDDLEWARE_CLASSES = (
        ...
        'django_outbox_middleware.middleware.OutboxMiddleware',
        ...
    )

Features
--------

* TODO

Running Tests
-------------

Does the code actually work?

::

    source <YOURVIRTUALENV>/bin/activate
    (myenv) $ pip install tox
    (myenv) $ tox

Credits
-------

Tools used in rendering this package:

*  Cookiecutter_
*  `cookiecutter-djangopackage`_

.. _Cookiecutter: https://github.com/audreyr/cookiecutter
.. _`cookiecutter-djangopackage`: https://github.com/pydanny/cookiecutter-djangopackage




History
-------

0.1.0 (2017-01-31)
++++++++++++++++++

* First release on PyPI.
gopher 0.2.1
Download randomized gopher image (png) from gopherize.me
License: MIT

Gopher
======

Download randomly generated gopher image from `gopherize.me <https://gopherize.me>`_.

Install
-------
.. code-block:: bash

    pip install gopher


Usage
-----

.. code-block:: bash

    Usage: gopher [OPTIONS]

    Options:
      -o, --output TEXT  Output file name (png).
      -w, --overwrite    Overwrite if the same name file already exists.
      -s, --simple       Get simple gopher.
      --help             Show this message and exit.


LICENSE
-------
MIT
ChemDataExtractor 1.3.0
A toolkit for extracting chemical information from the scientific literature.
License: MIT
Keywords: text-mining mining chemistry cheminformatics nlp html xml science scientific

ChemDataExtractor
=================

.. image:: http://img.shields.io/pypi/v/ChemDataExtractor.svg?style=flat-square
    :target: https://pypi.python.org/pypi/ChemDataExtractor

.. image:: http://img.shields.io/pypi/l/ChemDataExtractor.svg?style=flat-square
    :target: https://github.com/mcs07/ChemDataExtractor/blob/master/LICENSE

.. image:: http://img.shields.io/travis/mcs07/ChemDataExtractor.svg?style=flat-square
    :target: https://travis-ci.org/mcs07/ChemDataExtractor

ChemDataExtractor is a toolkit for extracting chemical information from the scientific literature.


Features
--------

- HTML, XML and PDF document readers
- Chemistry-aware natural language processing pipeline
- Chemical named entity recognition
- Rule-based parsing grammars for property and spectra extraction
- Table parser for extracting tabulated data
- Document processing to resolve data interdependencies


Installation
------------

To install ChemDataExtractor, simply run::

    pip install chemdataextractor

Or if you are an Anaconda user, run::

    conda install -c chemdataextractor chemdataextractor

Alternatively, try one of the other `installation options`_.


Documentation
-------------

Full documentation is available at http://chemdataextractor.org/docs


License
-------

ChemDataExtractor is licensed under the `MIT license`_, a permissive, business-friendly license for open source
software.


.. _`installation options`: http://chemdataextractor.org/docs/install
.. _`MIT license`: https://github.com/mcs07/ChemDataExtractor/blob/master/LICENSE