semvec/pypi-packages huggingface dataset:
card-py-bot 3.1.4
A Discord Bot for embedding WOTC Magic card links into Discord
License: MIT

card-py-bot
===========

A magic card link auto card data parser and embedder.

Installation and Use
~~~~~~~~~~~~~~~~~~~~

To install card-py-bot using pip3 simply enter within your terminal:

``$ pip3 install card-py-bot``

After installing with pip3, entering the card-py-bot startup command
within terminal will spool up an instance of the card-py-bot. By default
this command is as follows:

``$ card-py-bot -t "path to file containing token string"``

Requirements
~~~~~~~~~~~~

**Python3.6:** This bot utilizes python3.6 to utilize webscraping on
WOTC MTGâ€™s main card website. Python3.6 (and pip) can be downloaded for
multiple OSes here:

``https://www.python.org/downloads/release/python-360/``

**Note:** Python3.6 should be installed within the C:\Program Files
directory.

Disclaimer
~~~~~~~~~~

All card data, card images, and intellectual property owned by Wizards
of the West Coast is rightfully owned by them. This is simply a fan made
creation to help instigate intense Commander Deck discussions.
st2aws 0.0.14
Stackstorm AWS shared files
License: MIT
Keywords: stackstorm aws automation

A sample Python project
=======================

A sample project that exists as an aid to the `Python Packaging User Guide
<https://packaging.python.org>`_'s `Tutorial on Packaging and Distributing
Projects <https://packaging.python.org/en/latest/distributing.html>`_.

This projects does not aim to cover best practices for Python project
development as a whole. For example, it does not provide guidance or tool
recommendations for version control, documentation, or testing.

----

This is the README file for the project.

The file should use UTF-8 encoding and be written using `reStructuredText
<http://docutils.sourceforge.net/rst.html>`_. It
will be used to generate the project webpage on PyPI and will be displayed as
the project homepage on common code-hosting services, and should be written for
that purpose.

Typical contents for this file would include an overview of the project, basic
usage examples, etc. Generally, including the project changelog in here is not
a good idea, although a simple "What's New" section for the most recent version
may be appropriate.
ulaval-notify 0.1.0
Display monPortail notifications
License: MIT
Keywords: notifications

==================
ulaval-notify
==================

:Author: `Antoine Gagné <antoine.gagne.2@ulaval.ca>`_

.. contents::
    :backlinks: none

.. sectnum::

Requirements
============

To install this program, you must have the following:

- ``python 3.6+``

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

To install this program, you can simply run the following command:

::

    python setup.py install
animatai 0.1.4
Ecosystem with animats for development of Artificial General Intelligence
License: MIT
Keywords: animat ai agi artificial intelligence

Animats
=======

Reference code for:

A General Model for Learning and Decision-Making in Artificial Animals by
Claes Strannegård, Nils Svangård, David Lindström, Joscha Bach
and Bas Steunebrink

Submitted to IJCAI-17 AGA workshop, Melbourne, Australia

This repo is work in progress and will contain a completely refactored
version of the original code. The repo [ecosystem](https://github.com/animatai/ecosystem)
contains the old version of the framework (which isn't maintained anymore).


Setup
=====

The easiest way to install `animatai` is with `pip install animatai`

At least Python 3.5 is needed since `async` is used in the web sockets server
(`wsserver.py`).



Run the program
==============

Examples using the ecosystem classes are available in the
repo [examples](https://github.com/animatai/examples)

A little setup is needed first:

* Create `config.py`. Start with copying `config.py.template` and try some of
the examples from the repo mentioned above.

Start a web server and a browser:

* Run the server: `python wsserver.py`
* Run `index.html` in a browser and follow the instructions.


Development
===========

First setup a development environment. I'm using `virtualenv`:

* First init `virtualenv` for Python3: `virtualenv -p python3.6 venv3`
(`virutalenv` needs to be installed)
* Activate `virtualenv`: `source venv3/bin/activate`
* Install the necessary Python packages: `pip install -r requirements.txt`.
Add `--no-compile` when running on ubuntu.

Use [Google Style Guide](https://google.github.io/styleguide/pyguide.html)
and make sure that the unit tests are maintained.

Build (lint and run unit tests) with: `./build.sh`
Building will also Create a source distribution in the `dist` folder.

Upload the build to the public package repo for installation with `pip`:
`twine upload dist/animatai-X.Y.Z.tar.gz`


Credits
=======

Using some classes from the [AIMA book](https://github.com/aimacode/aima-python)
django-materialize 1.0.1a2
A simple Django app to add materialize support.
License: MIT

==================
Django Materialize
==================

Django Materialize is a simple Django app to include Materialize into your project.

Detailed documentation is in the "docs" directory.

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

1. Add "materialize" to your INSTALLED_APPS setting like this::

    INSTALLED_APPS = [
        ...
        'materialize',
    ]

2. To use materialize in your templates you should extend them from materialize_base.html for production,
    materialize_base_dev.html - for development, or include Materialize static files manually.
    Templates are placed in materialize directory and static files in materialize/(css | js | fonts).