semvec/pypi-packages huggingface dataset:
bashdown 0.5.0
Executes in-line bash in markdown files
License: MIT
Requires Python: >=3.8,<4.0

# bashdown

A markdown pre-processor for inline bash.

Have you ever written a command line tool and wanted to include it's output
in your documentation?

Then bashdown is for you.

Write your markdown files as usual and include bash code sections as normal
using "```bash".

When you pass this file through bashdown, it will run the code in the
code block and include that output inside the rest of the markdown.

This README.md was generated using bashdown.
Check README.bashdown for the file that's used to generate README.md

This project was inspired by tools like quarto and Rmarkdown, but has
significantly fewer dependencies due to it's much more limited scope.

## Usage

Basic usage is as follows:

```bash
# bashdown README.bashdown > README.md
```

Full usage information can be obtained from the built in help.

```bash
bashdown --help
```

```output
usage: bashdown [-h] filename

Processes in-line bash in markdown files

positional arguments:
  filename

optional arguments:
  -h, --help  show this help message and exit

For more information please see the docs
```


## License

MIT © Mark Sellors
argparseqt 0.3.4
An easy way to make Qt GUIs using the argparse standard module
License: MIT

# argparseqt
An easy way to make Qt GUIs using the argparse standard module

## Installation
Via pip:
```bash
pip install argparseqt
```

From source:
```bash
git clone https://github.com/domstoppable/argparseqt.git
cd argparseqt.git
python setup.py install
```

## Dependencies
Requires:
* [qtpy](https://github.com/spyder-ide/qtpy)
* Qt bindings for Python (either `PySide2`, `PyQt5`, `PySide`, or `PyQt`)

## Usage
### Quick start
```python
import argparse
import argparseqt.gui

parser = argparse.ArgumentParser(description='Main settings')
parser.add_argument('--storeConst', action='store_const', const=999)

textSettings = parser.add_argument_group('Strings', description='Text input')
textSettings.add_argument('--freetext', type=str, default='Enter freetext here', help='Type anything you want here')
textSettings.add_argument('--pickText', default='I choo-choo-choose you', choices=['Bee mine', 'I choo-choo-choose you'], help='Choose one of these')

app = QtWidgets.QApplication()
dialog = argparseqt.gui.ArgDialog(parser)
dialog.exec_()

if dialog.result() == QtWidgets.QDialog.Accepted:
	values = dialog.getValues()
	print('Values:', values)
else:
	print('User cancelled')
```

See [example.py](https://github.com/domstoppable/argparseqt/blob/master/example.py) for more.
RackioAI 0.3.2
A Rackio extension for AI models development
License: MIT

# RackioAI

**RackioAI** is a [Rackio](https://github.com/rack-io/rackio-framework) extension for Artificial Intelligence (AI) models.

The project was started in 2020 by [Carlos Rivero](https://github.com/crivero7) as a *Leak Detection System* and *Virtual Analyzer*
 project at [Intelcon System C.A](http://intelconsystem.com/) and [MCL Control S.A](http://mclcontrol.com/) respectively as a workaround to development and deployment *Deep Learning* models faster way.

# Installation

## Dependencies

**RackioAI** requieres:

* Python (>=3.7)
* scikit-learn
* easy-deco
* Pillow (8.0.0)
* Rackio (1.0.2)

___

## User installation

The easiest way to install **RackioAI** is using pip
> pip install RackioAI
 
```

## User instantiation

To use it in any python project you can import it using:

```python
from rackio_AI import RackioAI

```
Now, you can get access to **RackioAI** methods and attributes.
___
## Source code

You can check the latest sources with the command:

`git clone https://github.com/crivero7/RackioAI.git`
___
## Documentation

The RackioAI documentation can be found in [Read the Docs](https://rackioai.readthedocs.io/en/latest/)

# Todo
* Changelog
* Contributing guide
* Testing code