semvec/pypi-packages huggingface dataset:
rq-retry 0.3.0
RQ retry support
License: MIT

|Build Status| |Coverage Status| |Downloads|

RQ Retry
========

`RQ Retry`_ is a package that adds retry functionality to the `RQ`_
queueing system. It can retry failed jobs immediately or optionally
schedule them to retry after a delay using `RQ Scheduler`_.

Installation
============

.. code::

    pip install rq-retry
    pip install rq-scheduler # optional

Usage
=====

Run worker process:

.. code::

    rqworker -w rq_retry.RetryWorker
    rqscheduler # optional

`See Documentation for details`_

.. _See Documentation for details: https://github.com/mgk/rq-retry/blob/master/README.md
.. _RQ Retry: https://github.com/mgk/rq-retry/blob/master/README.md
.. _RQ: http://python-rq.org/
.. _RQ Scheduler: https://github.com/ui/rq-scheduler

.. |Build Status| image:: https://travis-ci.org/mgk/rq-retry.svg?branch=master
   :target: https://travis-ci.org/mgk/rq-retry
.. |Coverage Status| image:: https://coveralls.io/repos/mgk/rq-retry/badge.svg?branch=master&service=github
   :target: https://coveralls.io/github/mgk/rq-retry?branch=master
.. |Downloads| image:: https://img.shields.io/pypi/dm/rq-retry.svg
   :target: https://pypi.python.org/pypi/rq-retry
django-memento-framework 0.0.5
A set for helpers for Django web sites to enable the Memento framework for time-based access
License: MIT

# django-memento-framework

A set for helpers for Django web sites to enable [the Memento framework](http://timetravel.mementoweb.org/about/) for time-based access

[![Build Status](https://travis-ci.org/pastpages/django-memento-framework.png?branch=master)](https://travis-ci.org/pastpages/django-memento-framework)
[![PyPI version](https://badge.fury.io/py/django-memento-framework.png)](http://badge.fury.io/py/django-memento-framework)
[![Coverage Status](https://coveralls.io/repos/pastpages/django-memento-framework/badge.png?branch=master)](https://coveralls.io/r/pastpages/django-memento-framework?branch=master)
[![Documentation Status](https://readthedocs.org/projects/django-memento-framework/badge/?version=latest)](https://readthedocs.org/projects/django-memento-framework/?badge=latest)

* Documentation: [django-memento-framework.rtfd.org](http://django-memento-framework.rtfd.org)
* Issues: [github.com/pastpages/django-memento-framework/issues](https://github.com/pastpages/django-memento-framework/issues)
* Packaging: [pypi.python.org/pypi/django-memento-framework](https://pypi.python.org/pypi/django-memento-framework)
* Testing: [travis-ci.org/pastpages/django-memento-framework](https://travis-ci.org/pastpages/django-memento-framework)
* Coverage: [coveralls.io/r/pastpages/django-memento-framework](https://coveralls.io/r/pastpages/django-memento-framework)
atmos 0.2.5
Atmospheric sciences utility library
License: MIT
Keywords: atmos,atmospheric,equations,geoscience,science

*****
atmos
*****
---------------------------------------
An atmospheric sciences utility library
---------------------------------------

**atmos** is a library of Python programming utilities for the atmospheric
sciences. It is in ongoing development. If you have an idea for a feature or
have found a bug, please post it on the `GitHub issue tracker`_.

Information on how to use the module can be found predominantly by using the
built-in help() function in Python. Many docstrings are automatically
generated by the module and so information may appear to be missing in the
source code. There is also `HTML documentation`_ available.

This module is currently alpha. The API of components at the base module
level should stay backwards-compatible, but sub-modules are subject to change.
In particular, features in the util module are likely to be changed or removed
entirely.

.. contents::
    :backlinks: none
    :depth: 1

Features
========

* defined constants used in atmospheric science

* functions for common atmospheric science equations

* a simple calculate() interface function for accessing equations

* no need to remember equation function names or argument order

* fast calculation of quantities using numexpr

Dependencies
============

This module is tested to work with Python versions 2.6, 2.7, 3.3, and 3.4 on
Unix. Support is given for all platforms. If there are bugs on your
particular version of Python, please submit it to the `GitHub issue tracker`_.

Package dependencies:

* numpy

* numexpr

* six

* nose

Installation
============

To install this module, download and run the following:

.. code:: bash

    $ python setup.py install

If you would like to edit and develop the code, you can instead install in develop mode

.. code:: bash

    $ python setup.py develop

If you are running Anaconda, you can install using conda:

.. code:: bash

    $ conda install -c mcgibbon atmos

You can also install using pip:

.. code:: bash

    $ pip install atmos

Development version
===================

The most recent development version can be found in the `GitHub develop
branch`_.

Examples
========

Calculating pressure from virtual temperature and air density:

.. code:: python

    >>> import atmos
    >>> atmos.calculate('p', Tv=273., rho=1.27)
        99519.638400000011


License
=======

This module is available under an MIT license. Please see ``LICENSE.txt``.

.. _`GitHub issue tracker`: https://github.com/mcgibbon/atmos/issues
.. _`GitHub develop branch`: https://github.com/mcgibbon/atmos/tree/develop
.. _`HTML documentation`: http://www.pythonhosted.org/atmos
cqlsl 0.2.0
CQL for Python without any additional abstraction layers
License: MIT
Keywords: cassandra,cql

CQLSL
-----

CQL for Python without any additional abstraction layers.
Designed to be simple and fast tool for communication with Cassandra.
CQLSL is something between native Cassandra driver (which is really awesome!) and ORM.

[Installation](https://github.com/drudim/cqlsl#installation)

[Documentation](https://github.com/drudim/cqlsl#getting-started)