semvec/pypi-packages huggingface dataset:
homophone 1.1.3
Discover music
License: MIT

homophone: A tool for discovering music
=======================================

**homophone** allows you to discover artists that are similar to another
artist, as well as the genres associated with a given artist.

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

**homophone** can be installed via PyPI:

    $ pip install homophone

You can also install it from this repo by downloading the source code and
running:

    $ python setup.py install

Usage
-----

Run

    $ homophone --help

to get usage information.
tomographer 5.4
The Tomographer Project — Practical, Reliable Error Bars in Quantum Tomography
License: MIT
Keywords: quantum tomography error bars

Tomographer Python Interface
============================

The Python interface to Tomographer allows you to easily perform reliable
quantum tomography in a Python environment.

Documentation is provided `here
<https://tomographer.github.io/tomographer/api-doc/current/html/py/index.html>`_.


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

In order to install this Python extension, you need a relatively recent C++ compiler
(supporting C++11), such as `g++` ≥ 4.8 or `llvm/clang` ≥ 3.3.

The easiest way to install `tomographer` is using `pip`::

    pip install numpy pybind11
    pip install tomographer


*NOTE*: ``pip`` cannot (apparently) install build-time requirements, so you have
to install ``numpy`` and ``pybind11`` manually, before installing ``tomographer``.


License
-------

The Tomographer project is licensed under the MIT license, see LICENSE.txt.

Note: This package contains a subset of the
`Boost library <https://boost.org/>`_
(distributed under the `Boost software license <http://www.boost.org/users/license.html>`_)
and the `Eigen3 library <https://eigen.tuxfamily.org/>`_
(distributed under the `MPL license 2.0 <https://www.mozilla.org/en-US/MPL/2.0/>`_).
They are located in the source package directory ``tomographer/include/deps/``.
pyneat 1.0.0rc3
An implementation of Kenneth O. Stanley's NeuroEvolution of Augmenting Topologies
License: MIT

PyNeat
======

.. _tensorflow: https://www.tensorflow.org/

An implementation of Kenneth O. Stanley's NEAT algorithm using tensorflow_ for the back end.

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

.. code:: sh

  pip install -U pyneat


Usage Example
-------------

.. literalinclude:: pyneat/examples/pole.py
eazytv 0.3.1
Command Line Utility for search and download shows from EZTV
License: MIT
Keywords: cli tools torrent eztv

EasyTV
=============================

Command Line Utility for search and download shows from EZTV

Setup
-----

`eazytv <https://pypi.org/project/eazytv/>`_ is available on PyPI.

Using pip:

::

    $ pip install eazytv

Usage
-----

::

    Usage: eazytv [OPTIONS] COMMAND [ARGS]...

    Options:
        --version   Show the version and exit.
        -h, --help  Show this message and exit.

    Commands:
        search    Search a show
        showlist  Display the showlist
pync 2.0.3
Python Wrapper for Mac OS 10.10 Notification Center
License: MIT
Keywords: mac notification center wrapper


pync
====


.. image:: https://img.shields.io/pypi/l/pync.svg
   :target: https://github.com/SeTeM/pync/blob/master/LICENSE
   :alt: PyPI - License


.. image:: https://img.shields.io/pypi/v/pync.svg
   :target: https://pypi.org/project/pync/
   :alt: PyPI


.. image:: https://img.shields.io/github/issues-raw/SeTeM/pync.svg
   :target: https://img.shields.io/github/issues-raw/SeTeM/pync.svg
   :alt: GitHub issues


.. image:: https://img.shields.io/github/issues-pr/SeTeM/pync.svg
   :target: https://img.shields.io/github/issues-pr/SeTeM/pync.svg
   :alt: GitHub pull requests


.. image:: https://img.shields.io/github/forks/SeTeM/pync.svg?style=social&label=Fork
   :target: https://github.com/SeTeM/pync
   :alt: GitHub forks


.. image:: https://img.shields.io/github/stars/SeTeM/pync.svg?style=social&label=Stars
   :target: https://github.com/SeTeM/pync
   :alt: GitHub stars


A simple Python wrapper around the `terminal-notifier <https://github.com/alloy/terminal-notifier>`_ command-line tool (version 2.0.0), which allows you to send User Notifications to the Notification Center on Mac OS X 10.10, or higher.


.. image:: http://f.cl.ly/items/1k051n3k0u0i101m1i0U/Screen%20Shot%202012-08-24%20at%2012.20.40%20PM.png
   :target: http://f.cl.ly/items/1k051n3k0u0i101m1i0U/Screen%20Shot%202012-08-24%20at%2012.20.40%20PM.png
   :alt: Screenshot


Installation
^^^^^^^^^^^^

.. code-block:: bash

   pip install pync

or

.. code-block:: bash

   pip install git+https://github.com/SeTeM/pync.git

or

.. code-block:: bash

   git clone git://github.com/SeTeM/pync.git
   cd pync
   python setup.py install

Usage
^^^^^

For full information on all the options, see the tool’s `README <https://github.com/alloy/terminal-notifier/blob/master/README.markdown>`_.

Examples:
~~~~~~~~~

Using the notify function

.. code-block:: python

   import pync

   pync.notify('Hello World')
   pync.notify('Hello World', title='Python')
   pync.notify('Hello World', group=os.getpid())
   pync.notify('Hello World', activate='com.apple.Safari')
   pync.notify('Hello World', open='http://github.com/')
   pync.notify('Hello World', execute='say "OMG"')

   pync.remove_notifications(os.getpid())

   pync.list_notifications(os.getpid())

Using the notifier object

.. code-block:: python

   from pync import Notifier

   Notifier.notify('Hello World')
   Notifier.notify('Hello World', title='Python')
   Notifier.notify('Hello World', group=os.getpid())
   Notifier.notify('Hello World', activate='com.apple.Safari')
   Notifier.notify('Hello World', open='http://github.com/')
   Notifier.notify('Hello World', execute='say "OMG"')

   Notifier.remove(os.getpid())

   Notifier.list(os.getpid())

License
^^^^^^^

All the works are available under the MIT license. **Except** for ‘Terminal.icns’, which is a copy of Apple’s Terminal.app icon and as such is copyright of Apple.

See `LICENSE <https://github.com/setem/pync/blob/master/LICENSE>`_ for details.