semvec/pypi-packages huggingface dataset:
farmOS 1.0.1
A Python library for interacting with farmOS over API.
Requires Python: >=3.8

# farmOS.py

[![Licence](https://img.shields.io/badge/Licence-GPL%203.0-blue.svg)](https://opensource.org/licenses/GPL-3.0/)
[![Release](https://img.shields.io/github/release/farmOS/farmOS.py.svg?style=flat)](https://github.com/farmOS/farmOS.py/releases)
[![Last commit](https://img.shields.io/github/last-commit/farmOS/farmOS.py.svg?style=flat)](https://github.com/farmOS/farmOS.py/commits)
[![Twitter](https://img.shields.io/twitter/follow/farmOSorg.svg?label=%40farmOSorg&style=flat)](https://twitter.com/farmOSorg)
[![Chat](https://img.shields.io/matrix/farmOS:matrix.org.svg)](https://riot.im/app/#/room/#farmOS:matrix.org)

farmOS.py is a Python library for interacting with farmOS servers over API.

For more information on farmOS, visit [farmOS.org](https://farmOS.org).

## Installation

To install using `pip`:

```bash
$ pip install farmOS>=1.0
```

To install using `conda` see [conda-forge/farmos-feedstock](https://github.com/conda-forge/farmos-feedstock#installing-farmos)

## Documentation

farmOS.py can connect to farmOS servers running version ^1.6 or 2.x. The version should be specified when instantiating
the farmOS client.

- [1.x documentation](docs/client_1x.md)
- [2.x documentation](docs/index.md)

## MAINTAINERS

 * Paul Weidner (paul121) - https://github.com/paul121
 * Michael Stenta (m.stenta) - https://github.com/mstenta

This project has been sponsored by:

 * [Farmier](https://farmier.com)
 * [Pennsylvania Association for Sustainable Agriculture](https://pasafarming.org)
 * [Our Sci](http://our-sci.net)
 * [Bionutrient Food Association](https://bionutrient.org)
 * [Foundation for Food and Agriculture Research](https://foundationfar.org/)
dbxslackmessage 0.1.6
Package to send slack messages via databricks notebooks
Requires Python: >=3.6


Package to send slack messages via databricks notebooks.

## Usage

Here is a simple usage example:

```python
from dbxslackmessage import SlackMessage

webhook_url = 'https://hooks.slack.com/services/T00000000/B00000000/XXXXXXXXXXXXXXXXXXXXXXXX'
channel = '#your-channel'
messages = ['Hello, World!', 'This is a test message from dbxslackmessage package']

slack_message = SlackMessage(webhook_url, channel)
slack_message.send_messages(messages)
```
### Installing  dbxslackmessage

``` python -m pip install dbxslackmessage ```
convert-jupyter 1.0.3
Package help convert jupyter files. It let convert py to jupyter file and vice versa, and clean jupyter output. Useful to exclude git conflicts
Requires Python: >=3.7

# Convert jupyter 
This project help convert jupyter flie.
It let:
- convert .ipynb to .py file
- convert .py to .ipynb file
- clean output jupyter


## autors
Bartłomiej Chwiłkowski (github: chwilko)


# Usage:
python3 -m convert_jupyter [options] <command> <input_file>

commands:
  - jupyter2py                Convert jupyter file to python file.
  - py2jupyter                Convert python file to jupyter file.
  - clean                     Clean set jupyter file outputs.
  - clean_all                 Clean all jupyter files outputs from the set folder and child folders

input_file -- name of input file to convert or clean.

General options:
  - -o, --output              Set the output file name. By default, it is the input file name with a valid extension.
  - -i, --input               Set input file directly.
  - -c, --command             Set command directly.
  - -f, --force               If file with output name exists overwrite them. By default raise error.
  - -h, --help                Show help and exit.
  - -V, --version             Show version and exit.


# Structure
convert_jupyter:
    - file with functions

tests:
    - tests


## Functions 

jupyter2py(f_in_name: str, f_out_name: Union[str, None] = None, force: bool = False)
 - Convert jupyter file f_in_name to python file f_out_name.

py2jupyter(f_in_name: str, f_out_name: Union[str, None] = None, force: bool = False)
 - Convert python file f_in_name to jupyter file f_out_name.

clean(path: str)
 - Function clean jupyter file output.

clean_all(path: str)
 - The function recursively finds all jupyter files and clears their output.


## Licence
MIT