semvec/pypi-packages huggingface dataset:
fortnitepy-edit 1.1.6
Library for interacting with fortnite services
License: MIT
Requires Python: >=3.5.3

 # fortnitepy-edit

[![Supported py versions](https://img.shields.io/pypi/pyversions/fortnitepy-edit.svg)](https://pypi.org/project/fortnitepy-edit/)
[![Current pypi version](https://img.shields.io/pypi/v/fortnitepy-edit.svg)](https://pypi.org/project/fortnitepy-edit/)


Asynchronous library for interacting with Fortnite and EpicGames' API and XMPP services.

**Note:** This library is still under developement so breaking changes might happen at any time.

**Some key features:**
- Full support for Friends.
- Support for XMPP events including friend and party messages + many more.
- Support for Parties.
- Support for Battle Royale stats.

# Documentation
https://fortnitepy.readthedocs.io/en/latest/

# Installing
```
# windows
py -3 -m pip install -U git+https://github.com/klldtest/fortnitepy-edit
py -3 -m pip install -U fortnitepy-edit

# linux
python3 -m pip install -U git+https://github.com/klldtest/fortnitepy-edit
python3 -m pip install -U fortnitepy-edit
```

# Basic usage
```py
import fortnitepy
import asyncio

from fortnitepy.ext import commands

async def main():
    bot = commands.Bot(
        command_prefix='!',
        auth=fortnitepy.DeviceCodeAuth()
    )

    @bot.event
    async def event_ready():
        print('----------------')
        print('Bot ready as')
        print(bot.user.display_name)
        print('----------------')

    @bot.event
    async def event_friend_request(request):
        await request.accept()

    @bot.command()
    async def hello(ctx):
        await ctx.send('Hello!')

    await bot.start()

if __name__ == "__main__":
    asyncio.run(main())
```
blendrnetwork-cli 0.0.3
A CLI tool for Blendr
License: MIT
Requires Python: >=3.8

# Blendr CLI

Blendr CLI is a command-line interface designed to help users lend their GPU resources for computational tasks on the Blendr platform. This tool allows for easy setup, management, and monitoring of GPU resources from your terminal.

## Features

- **User Authentication**: Secure login to access the Blendr platform.
- **GPU Detection**: Automatically detect and list available GPUs on the host machine.
- **Task Management**: Listen and respond to computational tasks distributed via the Blendr network.
- **Initial Setup**: Configure the CLI tool to optimize performance and resource usage.

## Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.

### Prerequisites

What things you need to install the software and how to install them:

```bash
python3 -m pip install --upgrade pip
```


### Installing
A step-by-step series of examples that tell you how to get a development environment running:


Install the package using pip:

```bash
pip install blendrnetwork-cli
```

Verify the installation:

```bash
blendr --help
```
If the installation was successful, you should see the help message for the blendr command.


## Usage
Below are some examples of how to use the CLI:

Log in to Blendr:
```bash
blendr login
```
Perform initial setup:

```bash
blendr initalsetup
```

Listen for tasks:
```bash
blendr listentask
```

## Development
For those looking to contribute or simply tinker with the CLI tool, here's how to get started with development.

Clone the repository:

```bash
git clone https://github.com/Blendr-Netwk/blendr-cli.git
cd blendr-cli
```
Install dependencies:


```bash
pip install -r requirements.txt
```
Run the tool:


```bash
python -m blendr.cli
```
## Contributing
Please read CONTRIBUTING.md for details on our code of conduct, and the process for submitting pull requests to us.

## License
This project is licensed under the MIT License - see the LICENSE.md file for details.

## Acknowledgments
Hat tip to anyone whose code was used
Inspiration
etc
vbnet


### Notes:
- **Customize**: Replace placeholders like URLs and usernames with actual values relevant to your project.
- **Expand**: You might want to expand sections depending on the complexity and features of your CLI tool.
- **Markdown Styling**: Take advantage of GitHub's Markdown for formatting, such as tables, lists, and code blocks to make the README more readable and organized.

This `README.md` will help your users understand how to install, configure, and use your CLI tool, as well as how to contribute to its development.