semvec/pypi-packages huggingface dataset:
squacapipy 0.4
A python api wrapper for SQAUC API

# squacapipy
[![PyPI version](https://badge.fury.io/py/squacapipy.svg)](https://badge.fury.io/py/squqcapipy)
[![Build Status](https://travis-ci.com/travis-ci/travis-web.svg?branch=master)](https://travis-ci.com/travis-ci/travis-web)

An API wrapper [squacapi](https://github.com/pnsn/squacapi)

## Usage
### Configuration
You will first need a token. Once you have a squac account you will be sent
details to retrieve a token

The following environmental variables are required
* *SQUAC_API_TOKEN*
* *SQUAC_BASE*, which is https://squac.pnsn.org
* *SQUAC_API_BASE*, which is $SQUAC_BASE + /v1.0

Environmental variables examples can be found in .env-example

### Classes
#### Class Response
All responses are of class Response and have the following two attributes:
* status_code: int HTTP status code
* body: array of python dictionaries objects, or error code

#### Network
get query params:
* *network*: comma seperated string of networks. 
* *channel*: exact match
Dict response Keys:
* code: str two letter indentifier
* name: str, long name
* descritpion: str
* created_at: datetime
* updated_at: datetime
* user: user_id of creator


```python
from squacapipy.squacapi import Network

net = Network()
# return all networks
net.get()
# return UW. Params are not case sensistive
net.get(network='uw')
# return UW, UO, CC
net.get(network='uw,uw,cc')
```
regref 2.1.1
Munge tables of data

[![stable](http://badges.github.io/stability-badges/dist/stable.svg)](http://github.com/badges/stability-badges)
[![Build Status](https://travis-ci.org/arendsee/regref.svg?branch=master)](https://travis-ci.org/arendsee/regref)

# regref

To explain `regref` I will walk through the following example:

``` sh
./regref.py test-data/z.tab '${2}' '${3}' < test-data/z.fna
```

`z.fna` is a FASTA file with mangled headers where all non-letter or number
characters have been replaced with underscores.

`z.tab` is a table that contains the mangled names (in column 2) and the
original names (in column 3).

The `regref` command reads the FASTA file from standard input and then replaces
every occurance of the mangled string with the original string.

The arguments '${2}' and '${3}' refer to columns in `z.tab` by column number.


`regref` will replace every occurance of each pattern. The example below
replaces the mangled string in a tree with a single-quoted orginal string.

``` sh
./regref.py test-data/z.tab '${2}' "'\${3}'" < test-data/z.tre
```
KTLib 0.0.6
This is a simple python wrapper package. It wraps the Tello EDU SDK 2.0 for use in the KIPR Aerial Botball Challenge Program.
Requires Python: >=3.6

# KTLib

This is a simple python wrapper package. It wraps the Tello EDU SDK 2.0 for use in the KIPR Aerial Botball Challenge Program.

Contact: info@KIPR.org
qtplotlib 0.1.dev3
Plotting with Python and Qt
Keywords: qtplotlib

=========
QtPlotLib
=========

Copyright (c) 2019 Jérémie DECOCK (www.jdhp.org)

* Web site: http://www.jdhp.org/software_en.html#qtplotlib
* Online documentation: http://qtplotlib.readthedocs.org
* Examples: http://qtplotlib.readthedocs.org/gallery/

* Notebooks: https://github.com/jeremiedecock/qtplotlib-python-notebooks
* Source code: https://github.com/jeremiedecock/qtplotlib-python
* Issue tracker: https://github.com/jeremiedecock/qtplotlib-python/issues
* QtPlotLib on PyPI: https://pypi.org/project/qtplotlib
* QtPlotLib on Anaconda Cloud: https://anaconda.org/jdhp/qtplotlib


Description
===========

Plotting with Python and Qt

Note:

    This project is still in beta stage, so the API is not finalized yet.


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

*  Python >= 3.0

.. _install:

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

Gnu/Linux
---------

You can install, upgrade, uninstall QtPlotLib with these commands (in a
terminal)::

    pip install --pre qtplotlib
    pip install --upgrade qtplotlib
    pip uninstall qtplotlib

Or, if you have downloaded the QtPlotLib source code::

    python3 setup.py install

.. There's also a package for Debian/Ubuntu::
.. 
..     sudo apt-get install qtplotlib

Windows
-------

.. Note:
.. 
..     The following installation procedure has been tested to work with Python
..     3.4 under Windows 7.
..     It should also work with recent Windows systems.

You can install, upgrade, uninstall QtPlotLib with these commands (in a
`command prompt`_)::

    py -m pip install --pre qtplotlib
    py -m pip install --upgrade qtplotlib
    py -m pip uninstall qtplotlib

Or, if you have downloaded the QtPlotLib source code::

    py setup.py install

MacOSX
-------

.. Note:
.. 
..     The following installation procedure has been tested to work with Python
..     3.5 under MacOSX 10.9 (*Mavericks*).
..     It should also work with recent MacOSX systems.

You can install, upgrade, uninstall QtPlotLib with these commands (in a
terminal)::

    pip install --pre qtplotlib
    pip install --upgrade qtplotlib
    pip uninstall qtplotlib

Or, if you have downloaded the QtPlotLib source code::

    python3 setup.py install


Documentation
=============

* Online documentation: http://qtplotlib.readthedocs.org
* API documentation: http://qtplotlib.readthedocs.org/en/latest/api.html


Example usage
=============

TODO


Bug reports
===========

To search for bugs or report them, please use the QtPlotLib Bug Tracker at:

    https://github.com/jeremiedecock/qtplotlib-python/issues


License
=======

This project is provided under the terms and conditions of the `MIT License`_.


.. _MIT License: http://opensource.org/licenses/MIT
.. _command prompt: https://en.wikipedia.org/wiki/Cmd.exe