semvec/pypi-packages huggingface dataset:
pyhtmlchart 1.1
Python library to make Google Charts.
License: MIT
Keywords: make-google-chart

# pyhtmlchart 1.1

![Logo](https://sid72020123.github.io/pyhtmlchart/logo.svg)

pyhtmlchart is a Python library to make Google Charts.

![https://img.shields.io/badge/Python-3776AB?style=for-the-badge&logo=python&logoColor=white](https://img.shields.io/badge/Python-3776AB?style=for-the-badge&logo=python&logoColor=white)

[![PyPI Latest Release](https://img.shields.io/pypi/v/pyhtmlchart.svg)](https://pypi.org/project/pyhtmlchart/)
[![Package Status](https://img.shields.io/pypi/status/pyhtmlchart.svg)](https://pypi.org/project/pyhtmlchart/)
[![Downloads](https://static.pepy.tech/personalized-badge/pyhtmlchart?period=total&units=international_system&left_color=black&right_color=orange&left_text=Downloads)](https://pepy.tech/project/pyhtmlchart)

## Documentation:

For documentation(tutorial), go
to [https://sid72020123.github.io/pyhtmlchart/](https://sid72020123.github.io/pyhtmlchart/)

# Thanks to Google Charts
ml-research-toolkit 0.0.5
toolkits for machine learning, python package
License: MIT
Requires Python: ==3.*

*******************
ML Research Toolkit
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|test| |codecov| |docs| |readthedocs| |pypi|

.. |test| image:: https://github.com/andriygav/MLResearchToolkit/workflows/test/badge.svg
    :target: https://github.com/andriygav/MLResearchToolkit/tree/master
    :alt: Test status
    
.. |codecov| image:: https://img.shields.io/codecov/c/github/andriygav/MLResearchToolkit/master
    :target: https://github.com/andriygav/MLResearchToolkit/tree/master
    :alt: Test coverage

.. |docs| image:: https://github.com/andriygav/MLResearchToolkit/workflows/docs/badge.svg
    :target: https://andriygav.github.io/MLResearchToolkit/
    :alt: Build status
    
.. |readthedocs| image:: https://img.shields.io/readthedocs/mlresearchtoolkit/latest?label=readthedocs
    :target: https://mlresearchtoolkit.readthedocs.io/en/latest/
    :alt: ReadTheDocs

.. |pypi| image:: https://img.shields.io/pypi/v/ml-research-toolkit
    :target: https://pypi.org/project/ml-research-toolkit/
    :alt: PyPI

Basic information
=================

This package provides some utilities for training machine learning models. In particular, it provides a package for sending messages to popular instant messengers. Secondly, it provides a package to automatically interact with datasets from the `UCI <https://archive.ics.uci.edu/ml/index.php>`_ repository.

Notifications
-------------

It provides a package for simple message sending to messengers during model training.

The following messengers are currently supported:
  - Telegram

Datasets
-------------

It provides a package for automatically interact with datasets.

The following datasets repository are currently supported:
  - `UCI <https://archive.ics.uci.edu/ml/index.php>`_.

Requirements and Installation
=============================
A simple instruction of installation using pip is provided near the `source code <https://github.com/andriygav/MLResearchToolkit/tree/master/src>`_.

More information about installation can be found in documentation `installation <https://andriygav.github.io/MLResearchToolkit/installation.html>`_ page.

Example of use
==============
A simple examples of module usage can be found in documentation `example <https://andriygav.github.io/MLResearchToolkit/example.html>`_ page.
pycopy-ensurepip 0.0.1
Dummy ensurepip module for Pycopy
License: MIT

This is a dummy implementation of a module for the standard library of
Pycopy project (https://github.com/pfalcon/pycopy).
It contains zero or very little functionality, and primarily intended to
avoid import errors (using idea that even if an application imports a
module, it may be not using it onevery code path, so may work at least
partially). It is expected that more complete implementation of the module
will be provided later. Please help with the development if you are
interested in this module.