semvec/pypi-packages huggingface dataset:
qri 0.1.5
qri python client
Requires Python: >=3.6

# qri-python

```
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██╔═══██╗██╔══██╗██║
██║   ██║██████╔╝██║
██║▄▄ ██║██╔══██╗██║
╚██████╔╝██║  ██║██║
 ╚══▀▀═╝ ╚═╝  ╚═╝╚═╝
```

Python client for qri ("query")


# Installation

```
pip install qri
```

# About

Python wrapper to enable usage of [qri](https://qri.io/), the dataset toolchain. Can
either use a locally installed qri command-line program to work with your local repository,
or can directly get datasets from the [Qri Cloud](https://qri.cloud).

Dataset objects returned by this library have the components that exist in the
[standard qri model](https://qri.io/docs/dataset-components/overview). The body is returned
as a Pandas DataFrame in order to easily integrate with other data science systems, like
Jupyter Notebook.

# Usage

The following examples assume you have the latest release of the qri command-line client
installed. You can get this from https://github.com/qri-io/qri/releases

```
import qri
```

```
# Pull a dataset from cloud and add it to your repository
$ qri.pull("b5/world_bank_population")
```
> Fetching from registry...
>
> "Added b5/world_bank_population: ..."

```
# List datasets in your repository
$ qri.list()
```
> [Dataset("b5/world_bank_population")]

```
# Get that single dataset as a variable
$ d = qri.get("b5/world_bank_population")
```

```
# Look at metadata description
$ d.meta.description
```
> ( 1 ) United Nations Population Division. World Population Prospects: 2017 Revision...

```
# Get the dataset body as a pandas DataFrame
$ d.body
```
> `.   country_name  country_code   indicator_name    ...`
>
> `0   Afghanistan   AFG            Population, total ...`
> 
> `...`

TODO: Save changes
game-server-backend-hydrogen602 0.0.1
A framework that interfaces games with websockets
Requires Python: >=3.7

![Python application](https://github.com/hydrogen602/gameServerBackend/workflows/Python%20application/badge.svg)
# gameServerBackend
A WebSocket based server for web games. Requires at least Python3.7

The objective is to make one websocket server than can track many users and games and know which users is playing what game. 
The goal is to make it so that it can be easily used to make a new game without having to worry about the issues of managing a
websocket server or identifying players, so that the game code can be given just a player and the action the player would like to perform.



## Notes
- lets have player id be the name

## How to run the example:
- go the the example directory
- run `python3 game.py`
- open the `index.html` page
- enter a name and connect  
Note: Little to no effort has been put into the frontend of the example because it is just for testing purposes