semvec/pypi-packages huggingface dataset:
tron 1.6.1
Job scheduling and monitoring system

Tron is a centralized system for managing periodic batch processes across a
cluster. If you find cron or fcron to be insufficient for managing complex work
flows across multiple computers, Tron might be for you.

For more information, look at the
`tutorial <http://tron.readthedocs.io/en/latest/tutorial.html>`_ or the
`full documentation <http://tron.readthedocs.io/en/latest/index.html>`_.
IntrinsicAnalysis 0.0.3
Intrinsic analysis package

# IntrinsicAnalysis

IntrinsicAnalysis is a Python library for intrinsic analysis within one document for Armenian texts.
It uses stylometric features analysis to find suspicious fragments.
## Installation

Use the package manager [pip](https://pip.pypa.io/en/stable/) to install IntrinsicAnalysis.

```bash
pip install IntrinsicAnalysis
```

## Usage
To use library import _analyse_paragraphs_ as follows:
```python
from IntrinsicAnalysis.analyse import analyse_paragraphs
```
As input _analyse_paragraphs_ takes list of strings(paragraphs) of entire document and returns suspicious paragraphs.
```python
analyse_paragraphs(paragraphs)
```
Returns a list of tuples. Each of them has corresponding paragraph as the first element and boolean (whether that paragraph is considered suspicious) as the second element.

## License
[MIT](https://choosealicense.com/licenses/mit/)
Grenadevisuals 0.0.1
Python async library for pulling news off of https://www.epicgames.com/fortnite/en-US/news
Requires Python: >=3.6

# FortniteNewsGrabber

An async python library for grabbing the news from [this site](https://www.epicgames.com/fortnite/en-US/news).<br />

Installation<br />
-
```py
pip install FortniteNewsGrabber
```

Basic Usage:<br />
-
```py
import FortniteNewsGrabber
import asyncio

async def main():
    a = await FortniteNewsGrabber.getAllNews()
    print(a[0].image)


asyncio.run(main())
```
This will print a url to the image of the first news element:
```
https://cdn2.unrealengine.com/13br-megadrop-blogthumb-576x576-730037014.jpg
```