semvec/pypi-packages huggingface dataset:
ahmes 0.0.2
"A Simple CLI App for Avid Readers"
License: MIT
Requires Python: >=3.10

# Ahmes

*A Simple CLI App for Avid Readers.*

## Installation

```
pip install ahmes
```

Verify that ahmes has installed correctly by executing the following command in your shell:

```
ams --version
```

## Usage

### Commands

*Coming Soon!*

## License

Ahmes is available under the MIT license. See [LICENSE](LICENSE) for more info.

# Changelog

## 0.0.1

* Project skeleton, not much to see here yet!

## 0.0.2

* Updated docs

MIT License

Copyright (c) 2022 Gage Talbot

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
yamsl 0.1.0
Yet Another Meteo Swiss Library
License: MIT

# YAMSL
![License](https://img.shields.io/github/license/gwrd-ch/yamsl)

Yet Another Meteo Swiss Library

## General Info
This python library provides an easy way to get forecasts from MeteoSwiss.

## Installation
Install with pip:
```
$ pip install yamsl
```

## Usage

```
from yamsl import MeteoSwiss


meteo = MeteoSwiss() # instanciate MeteoSwiss
await meteo.setup(8001) # setup with zip-code
forecast = await meteo.updateForecast() # update forecast (also returns forecast)
```

## Licence


## Disclaimer
The code is provided as is. This is an unofficial client.

## Thanks
* This repo helped a lot: https://github.com/caco3/MeteoSwiss-Forecast

## Development

After cloning repo:
```
// Create the virtual environment
$ python3 -m venv venv
$ python -m venv venv

// Activate the virtual environment (Linux/macOS)
$ source venv/bin/activate

// Install requirements
$ pip install -r requirements.txt
```

Before checking in again:
```
// Freeze requirements
$ pip freeze > requirements.txt
```

## Deploy

Compile and test
```
python setup.py sdist bdist_wheel
twine check dist/*
twine upload --repository-url https://test.pypi.org/legacy/ dist/*
twine upload dist/*
```