semvec/pypi-packages huggingface dataset:
UniCover 0.1
Displays Unicode chars coverage of system fonts
License: MIT

**UniCover** is a simple command-line tool displaying information about Unicode coverage of system fonts. It should work on systems that utilize Fontconfig (Linux and other Unix-like).

Dependencies: Python-fontconfig, freetype-py.

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

In most cases issuing the following command will be sufficient:

.. code-block:: bash

    pip3 install --user UniCover

If you get an error from Python Fontconfig library, try installing its header files first, eg. for Debian or Ubuntu:

.. code-block:: bash

    sudo apt install libfontconfig1-dev

Usage
=====

Basic usage
-----------

**Display all characters contained given font family or font file**

Returns list of characters grouped by Unicode blocks.

.. code-block:: bash

    unicover -f 'Liberation Sans'
    unicover -f /usr/share/fonts/TTF/LiberationSans-Bold.ttf

    unicover -f 'Liberation Sans' -g    # lists only Unicode blocks
    unicover -f 'Liberation Sans' -o    # omits summary line (total number of characters)

You can discover what fonts are installed in your system using Fontconfig:

.. code-block:: bash

    fc-list : family        # lists font families
    fc-list : file family   # lists font files with families they belong to

**List all system fonts that contain the specified character**

.. code-block:: bash

    unicover -c ₹
    unicover -c 54f6

    unicover -f ₹ -g        # lists only font families
    unicover -f ₹ -o        # omits summary line (total number of fonts)

System fonts summaries
----------------------

**Display all Unicode blocks supported by the system fonts**

.. code-block:: bash

    unicover -g

**List all characters supported by the system fonts**

.. code-block:: bash

    unicover -l
    unicover -gl            # group characters by Unicode block

Note: output will be very long.
nbd 0.2
Lightweight ipython/jupyter notebook diffing tool
License: MIT
Keywords: ipynb jupyter ipython nbconvert git diff git-diff difftool

nbd
===

A lightweight ipython/jupyter notebook diffing tool.

.. image:: https://travis-ci.org/lcary/nbd.svg?branch=master
    :alt: build-status-image
    :target: https://travis-ci.org/lcary/nbd

Purpose
-------

This tool makes ipython/jupyter notebook diffs more readable.

This tool is meant for text-based diffing from the command-line.

Overview
--------

Running ``ndb`` shows differences in the following types of data:

-  Python code
-  reStructuredText code
-  Resource files (e.g. PNGs)

This will show you most of what has changed in the ``In[1]:`` and
``Out[1]:`` lines of the notebook.

The output of ``ndb`` is
`git-diff <https://git-scm.com/docs/git-diff>`_ output and can be piped
to other commands like `less(1) <https://linux.die.net/man/1/less>`_
and `tee(1) <https://linux.die.net/man/1/tee>`_.

Requirements
------------

-  Python >= 2.6
-  nbconvert
-  pandoc
-  git

Install
-------

Install with pip (or your favorite python package manager):

::

    pip install nbd

Usage
-----

Help:

::

    nbd -h

Simple usage:

::

    nbd <notebook>

Pipe to `less(1) <https://linux.die.net/man/1/less>`_:

::

    nbd <notebook> | less

Options (see help for all):

::

    nbd -e python <notebook>
    nbd <notebook1> <notebook2> <notebook3>
    nbd <notebook> --git-diff-option="--name-only"

Build and install from sources
------------------------------

Source distribution:

::

    python setup.py sdist

After building, install with pip:

::

    pip install dist/nbd-$version.tar.gz

Install in a virtual environment to avoid system pip issues.

Tutorial
--------

See the tutorial in the ``demo/`` directory: `demo
tutorial <demo/tutorial.rst>`_.
pynetatmo 0.1.1
Netatmo API wrapper written in Python
License: MIT
Keywords: netatmo,thermostat,weather,security,welcome

# PyNetatmo [![Build Status](https://travis-ci.org/fabiocody/PyNetatmo.svg?branch=master)](https://travis-ci.org/fabiocody/PyNetatmo)
Netatmo SmartHome API wrapper written in Python

This project is still under active development.

## Credits
I would like to thank [Alessandro Nichelini](https://github.com/Alenichel) for writing the `Security` class.
task1_mareev_meledin 5.1
Workshop 3 course. Autumn 17-18. Exercise 1.
License: MIT
Keywords: task1 mareev maledin cs msu

Task1_mareev_meledin
====================

Info
----
This package was created to train the skills of publishing packages. Please do not download it if you do not know Mareev Gleb or Meledin Stanislav :)


Using
------

To use, simply do::

    import task1_mareev_meledin as ts
    print(ts.nash_equilibrium([[1, 2], [2, 3]]))