semvec/pypi-packages huggingface dataset:
senasopt 0.4
Simple Energy Asset Optimisation (aka. senasopt) - A small example package trying out optimisation of energy-related assets
Requires Python: >=3.6

# senasopt

This package is meant to give you simple energy asset optimisation (in short *senasopt*) toolkit for basic test. This package is meant to be used with Python 3.

[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)
[![Imports: isort](https://img.shields.io/badge/%20imports-isort-%231674b1?style=flat&labelColor=ef8336)](https://pycqa.github.io/isort/)

## Capabilities

None for now

## Installation

### Latest stable version
If you want to get the latest stable version, you can get it via pip, as it is [registered on PyPi](https://pypi.org/project/senasopt/) :
~~~ 
pip install senasopt
~~~

### Development versions
If you want to use the development version, then just keep on using the one in the [repository on Gitlab](https://gitlab.com/Pierre_VF/senasopt) by checking out the right branches:

To get the latest stable version, pull the master branch from Gitlab:
~~~ 
pip install git+https://gitlab.com/Pierre_VF/senasopt.git@master
~~~ 

To get the latest developments (can be unstable), pull the Development branch from Gitlab:
~~~ 
pip install git+https://gitlab.com/Pierre_VF/senasopt.git@Development
~~~ 

## Examples and documentation

You can find a documentation and code samples in Jupyter notebooks in the *examples* folder.

The installation process for the API keys is provided in these notebooks where relevant.

## Note to users and developers
This repository is currently developed as a hobby project. But if you're interested in contributing, this is very welcome.

At the moment, the documentation is very unevenly advanced, help there is also appreciated.

The style format used for development is [Black](https://pypi.org/project/black/), if you contribute, it would be nice if you remember to apply it to your code before committing.
wud 0.1.15
wud utilities and helpers
Requires Python: >=3.5
Keywords: wud

===
wud
===






wud utilities and helpers



Features
--------

* TODO

Credits
-------

This package was created with Cookiecutter_ and the `audreyr/cookiecutter-pypackage`_ project template.

.. _Cookiecutter: https://github.com/audreyr/cookiecutter
.. _`audreyr/cookiecutter-pypackage`: https://github.com/audreyr/cookiecutter-pypackage


=======
History
=======


0.1.11(2021-05-17)
------------------

* remove json pickle



0.1.4 (2021-05-17)
------------------

* More team names for football



0.1.0 (2021-04-12)
------------------

* First release on PyPI.
chessfessor 1.0.10
Extract your chess games data from https://lichess.org and https://chess.com

# py-chessfessor
[![Build](https://github.com/FrequentlyMissedDeadlines/py-chessfessor/actions/workflows/python-package.yml/badge.svg)](https://github.com/FrequentlyMissedDeadlines/py-chessfessor/actions/workflows/python-package.yml)
[![Publish](https://github.com/FrequentlyMissedDeadlines/py-chessfessor/actions/workflows/python-publish.yml/badge.svg)](https://github.com/FrequentlyMissedDeadlines/py-chessfessor/actions/workflows/python-publish.yml)
[![Version](https://img.shields.io/pypi/v/chessfessor)](https://pypi.org/project/chessfessor)
[![Version](https://img.shields.io/pypi/pyversions/chessfessor)](https://pypi.org/project/chessfessor)
[![codecov](https://codecov.io/gh/FrequentlyMissedDeadlines/py-chessfessor/branch/main/graph/badge.svg)](https://codecov.io/github/FrequentlyMissedDeadlines/py-chessfessor?branch=master)
[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
![PyPI - Downloads](https://img.shields.io/pypi/dm/chessfessor)

Chessfessor is the short for "Chess Professor". This command line tool will allow you to download all your chess game data from [Lichess](https://lichess.org/) and [Chess.com](https://www.chess.com/). You can then put this data in any BI tool you like to analyse your games or generate dashboards like winrates per opening.

## Install

```
python -m pip install chessfessor
```

## Usage

```
python -m chessfessor Kasparov
```

## Advanced usage

```bash
# Display help page
python -m chessfessor -h

# Get Lichess.org games for player Kasparov
python -m chessfessor Kasparov --website lichess

# Get Chess.com games for player Kasparov
python -m chessfessor Kasparov --website chessdotcom

#Get Lichess.org games for player Kasparov, including casual games
python -m chessfessor Kasparov --website lichess --include-casual
```

## Disclaimer
I have no rights on [Lichess](https://lichess.org/) or [Chess.com](https://www.chess.com/). All rights belong to their respective owners.

But this tool comes from free, enjoy it! 🎉