semvec/pypi-packages huggingface dataset:
django-sm8-jobs 0.9.1
A simple Django app to conduct Web-based jobs.
License: BSD License

=====
Jobs
=====

Jobs is an add-on for ServiceM8. Allow customers to easily schedule jobs from a "customer portal".

Detailed documentation is in the "docs" directory.

Quick start
-----------

1. Add "jobs" and "bootstrap3" to your INSTALLED_APPS setting like this::

    INSTALLED_APPS = [
        ...
        'jobs',
        'bootstrap3',
    ]

2. Include the polls URLconf in your project urls.py like this::

    url(r'^jobs/', include('jobs.urls')),

3. Run `python manage.py migrate` to create the polls models.

4. Start the development server and visit http://127.0.0.1:8000/admin/
   to create a poll (you'll need the Admin app enabled).

5. Visit http://127.0.0.1:8000/polls/ to participate in the poll.
pandas-compat 0.1.1
Pandas API compatiblity layer
License: BSD License
Keywords: data

pandas-compat
=============

|Build Status| |Version Status|

**pandas-compat** is a package providing an API compatibility across versions to downstream libraries that use pandas.

This compatibility layer requires ``pandas`` >= 0.17.0.


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


Install latest release version via conda
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

.. code-block:: shell

   $ conda install pandas-compat --channel conda-forge

Install latest release version via pip
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

.. code-block:: shell

   $ pip install pandas-compat

Install latest development version
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

.. code-block:: shell

    $ pip install git+https://github.com/pandas-compat/pandas-compat.git


Usage
-----

In your downstream library, you can use this pattern:

.. code-block:: python

   import pandas_compat as pdc

   pdc.is_datetime64tz_dtype(...)
   pdc.infer_dtype(...)


.. |Build Status| image:: https://travis-ci.org/pandas-dev/pandas-compat.svg?branch=master
   :target: https://travis-ci.org/pandas-dev/pandas-compat
.. |Version Status| image:: https://img.shields.io/pypi/v/pandas-compat.svg
   :target: https://pypi.python.org/pypi/pandas-compat/