semvec/pypi-packages huggingface dataset:
forward-pymodelscarp 0.0.1
Forward function to generate chlorine 36 profiles on fault scarp
Requires Python: >=3.9

[Github-flavored Markdown](https://guides.github.com/features/mastering-markdown/)

# forward_pymodelscarp
This package is 

# Build Status

# Installation

# How to Use?


# Credits
This project is an adapted version for python of modelscarp.m (Schlagenhauf et al. 2010) and modelscarp.f90 (Tesson & Benedetti 2019)

# License
GNU Lv3
mprisctl 0.0.1
Command line utility to control music players.
Requires Python: >=3.7

# mprisctl

A command line media player controlling utility.

## What is it?

`mprisctl` is a command line utility that controls media players that implement [MPRIS D-Bus Interface](https://specifications.freedesktop.org/mpris-spec/2.2/). Not only this utility can help binding built-in media control keys to actual player actions, but also it is capable of displaying information about the current song. This is particularly useful when you want to customize your status line viewers such as [Polybar](https://github.com/polybar/polybar) or [Lemonbar](https://github.com/LemonBoy/bar).

## How to get it?

Clone this repository and `cd` into the repository.

```sh
git clone https://github.com/RangHo/mprisctl
cd mprisctl
```

Install it as a PIP package.

```sh
pip install .
```

Now, you should be able to use this utility by typing `mprisctl` in your command line!
openstack-cli 0.0.7
short package description
Requires Python: >=3.7

# openstack

openstack is a poilerplate Python that encourages rapid development
and clean, pragmatic design. and we're support templates to your field
what ever you want. Thanks for checking it out.

## openstack CLI

The openstack CLI is a command-line interface for interacting with the openstack.sh platform.

## Installation

Before installing openstack_cli, it is recommended to create a virtual environment to isolate it from your system Python installation. This can help to avoid conflicts with other packages and make it easier to manage dependencies. To create a virtual environment, run the following commands:

```bash
python -m venv myenv
source myenv/bin/activate
```

Replace `myenv` with the desired name of your virtual environment.
After creating the virtual environment, you can then go to next step:

To install openstack_cli from PyPI, you will need to have Python and pip installed on your system. If you don't have them, you can download them from [python.org](https://www.python.org/) and [pip.pypa.io](https://pip.pypa.io/en/stable/installation/).

Once you have Python and pip installed, run the following command in your terminal or command prompt:

```bash
pip install openstack_cli
```

This will download and install `openstack_cli` and its dependencies.

After installation, you can run `openstack --version` by typing the following command in your
terminal or command prompt:

```bash
openstack --version
```

## usage.

With the openstack CLI, you can perform various tasks such as:

- `openstack login`: Log in to the openstack CLI.

- `openstack register`: This command will take you to the openstack.sh website to create a new account.

- `openstack logout`: Log out of the openstack CLI.

- `openstack gift ls`: Show all templates you have bought.

- `openstack gift ls -a`: Show all templates, even those you don't own.

- `openstack init`: Prompt for project name and choose a template from those you have bought.

- `openstack buy`: Choose a template to buy.

- `openstack config ls`: Show all configuration information for your user.

- `openstack config get [KEY]`: Show the value for a specific configuration key.

- `openstack config set [KEY] [VALUE]`: Set a new value for a specific configuration key.

- `openstack info`: Show some information about openstack.sh.
covid19-inference 0.5.0
Toolbox for inference and forecast of the spread of the Coronavirus.
Requires Python: >=3.6.0

# Bayesian inference and forecast of COVID-19, code repository

[![Documentation Status](https://readthedocs.org/projects/covid19-inference/badge/?version=latest)](https://covid19-inference.readthedocs.io/en/latest/doc/gettingstarted.html)
[![License: GPL v3](https://img.shields.io/badge/License-GPLv3-blue.svg)](https://www.gnu.org/licenses/gpl-3.0)
[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)

This is a Bayesian python toolbox for inference and forecast of the spread of the Coronavirus. We also provide a variety of data download utilities which allow quick and easy data exploration of Coronavirus related datasets.

- [**Documentation**](https://covid19-inference.readthedocs.io/en/latest/index.html)
- [**Getting started**](https://covid19-inference.readthedocs.io/en/latest/doc/gettingstarted.html)
- [**Examples**](https://covid19-inference.readthedocs.io/en/latest/doc/examples.html)
- [**Contributing**](https://covid19-inference.readthedocs.io/en/latest/doc/contributing.html)
- [**Source code**](https://github.com/Priesemann-Group/covid19_inference)


The latest stable version is [v0.4.0](https://github.com/Priesemann-Group/covid19_inference/tree/v0.4.0)!


## Please take notice of our [disclaimer](DISCLAIMER.md).


## Installation:

Can be installed from pypi with
```
pip install covid19_inference
```

## Related Publications
These research articles use this package:
- *Inferring change points in the spread of COVID-19 reveals the effectiveness of interventions*
    - This research article [is available on arXiv](https://arxiv.org/abs/2004.01105) (**updated on April 13 2020**) and was published [in Science](https://www.science.org/doi/10.1126/science.abb9789).
    - The code used to produce the figures is available in the other repository [here](https://github.com/Priesemann-Group/covid19_inference_forecast).
- *Mutational signatures and transmissibility of SARS-CoV-2 Gamma and Lambda variants*
    - This research article [is available on arXiv](https://arxiv.org/abs/2108.10018) (**updated on August 21 2021**).

If you are interested in our efforts and like to help us feel free to contact us. **We are looking for support**