semvec/pypi-packages huggingface dataset:
xyzclean 0.0.1
A sample Python project
License: MIT
Keywords: sample setuptools development

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.
qgeneration 0.1a3
Data generation project
License: MIT
Keywords: data,generator,fixtures,test

===========
qgeneration
===========

Data generation library

|pypi| |coveralls| |travis| |license|

------------
Installation
------------
.. code-block:: bash

  $ pip install qgeneration

-------
Testing
-------
.. code-block:: bash

  $ python setup.py test

---------
Licensing
---------

The code in this project is licensed under MIT license.

.. |pypi| image:: https://img.shields.io/pypi/v/qgeneration.svg?style=flat-square&label=version
    :target: https://pypi.python.org/pypi/qgeneration
    :alt: Latest version released on PyPi

.. |travis| image:: https://travis-ci.org/KirovVerst/qgeneration.svg?branch=master
    :target: https://travis-ci.org/KirovVerst/qgeneration
    :alt: Build status on Travis

.. |license| image:: https://img.shields.io/badge/license-MIT-blue.svg?style=flat-square
    :target: https://raw.githubusercontent.com/kirovverst/qgeneration/master/LICENSE.txt
    :alt: Package license

.. |coveralls| image:: https://coveralls.io/repos/github/KirovVerst/qgeneration/badge.svg?branch=master
    :target: https://coveralls.io/github/KirovVerst/qgeneration?branch=master
Kadot 0.1.9
Kadot, unsupervised natural language processing.
License: MIT
Keywords: natural language processing

Unsupervised natural language processing library.

Kadot just lets you process a text easily.

>>> hello_world = Text("Kadot just lets you process a text easily.")
>>> hello_world.ngrams(n=2)

[('Kadot', 'just'), ('just', 'lets'), ('lets', 'you'), ('you', 'process'), ('process', 'a'), ('a', 'text'), ('text', 'easily')]


�� What's included ?

Kadot includes tokenizers, text generators, classifiers, word-level and document-level vectorizers as well as a spell checker, a fuzzy string matching utility or a stopwords detector.

The philosophy of Kadot is "never hardcode the language rules" : use unsupervised solutions to support most languages. So it will never includes Treebank based algorithms (like a POS Tagger).


�� Installation

Use the "pip" command that refair to the Python 3.x interpreter.
In my case :

$ pip3 install kadot

It actually require the Python's standard library, Numpy, Scipy and Scikit-Learn.


⚖️ License

Kadot is under MIT license.


+ More

Check the GitHub repository : https://github.com/the-new-sky/Kadot
faamtools 0.2.3
faamtools: a Python toolbox to read FAAM data
License: MIT

faamtools
========
Read and process instrumental aircraft observations collected by
UK's Facility for Airborne Atmospheric Measurements (FAAM)

* core processed data
* AVAPS dropsonde data
* 2DS and CDP cloud probes

License
=======
``faamtools`` is licensed under the terms of the MIT license. See the file
"LICENSE" for information on the history of this software, terms & conditions
for usage, and a DISCLAIMER OF ALL WARRANTIES.

All trademarks referenced herein are property of their respective holders.

Copyright (c) 2016--, Denis Sergeev, University of East Anglia