semvec/pypi-packages huggingface dataset:
geckoboard-python 0.3.1
Wrapper for the Geckboboard DataSet API
License: BSD

# gecko-dataset #


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`geckoboard-python` is a Python package that makes creating and managing
[datasets](https://developer.geckoboard.com/api-reference/curl/) for
the [Geckboard](https://geckoboard.com) service easier.


## Installation

Assuming you're using `pip`, add this line to your `setup.py`:

```
requires = ['geckoboard-python]
```

or to your `requirements.txt` file:

```
geckoboard-python
```

## Usage and Documentation




## Development


In order to develop for this code-base you will need to install tox:

```
pip install tox
```

Since `geckoboard-python` supports at least Python 2.7 and 3.5 you will
need to have at least one of those installed on your development
machine. The build automation will test all required versions when
code is pushed to this repository.

Clone this repository and run:

```
$ tox
```

This will install the required packages and run the tests for the
library. Installing `tox` removes the need to install or use
`virtualenv` since tox manages virtual environments already.

By default the tests will replay back previously recorded API
interactions. To affect how tests interact with the API you
will have to

* Set a `GECKO_API_KEY` environment variable to a valid Geckboard API
  key. For example in `bash`:


```
$ export GECKO_API_KEY=<my api key>
```

* Set `GECKO_RECORD_MODE` to one of:

* **none** - (default) Only play back recorded API interactions.

* **once** - Only record interactions for which no recording exist. If
  you get an error message from betamax complaining about a recording
  not matching an interaction that means that your test has new API
  interactions with it. Remove the cassette referred to in the error
  message and run the test again to re-generate it .

We use `flake8` to ensure we catch Python version differences and
common pitfalls quicker. Please run:

```
$ tox -e lint
```

before you commit code and try to remove as many warnings as you
can. Once we figure out how strict some of the documentation
requirements need to be we will be running lint as part of automation.

To make a release tag the repository with a valid
[semantic version](https://semver.org) version and push tags. The
build automation will automatically build and push releases to
[PyPi](https://pypi.python.org).
django-comps 1.0.0
A simple application that provides an entry point for integrating front end designers into a django project
License: BSD

django-comps
==========================

An app that facilitates rapid prototyping.

Provides an entry point for deeper integration of front end designers with
little to no experienceinto a project.

Features
-------
Protypes can be built in the ``COMPS_DIR`` and render within he context of
a Django project, without the need for defined views.

* Take advantage of the templating engine
* No need to pre-configure urls and views during prototyping
* Onboard new designers to the wonders of Django

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

django-comps requires Django >= 1.4 and Python >= 2.6.

``pip install django-comps``


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

Documentation on using django-comps is available on
[Read The Docs](http://readthedocs.org/docs/django-comps/).


License
--------------------------------------

django-comps is released under the BSD License. See the
[LICENSE](https://github.com/daaray/django-comps/blob/master/LICENSE) file for more details.


Contributing
--------------------------------------

If you think you've found a bug or are interested in contributing to this project
check out [django-comps on Github](https://github.com/daaray/django-comps>).