semvec/pypi-packages huggingface dataset:
Kpickmenu 1.0
Python module for creating menus
Requires Python: >=3.6

# Kpick

Python module for creating menus.

## РЈСЃС‚Р°РЅРѕРІРєР°

Р”Р»СЏ СѓСЃС‚Р°РЅРѕРІРєРё РёСЃРїРѕР»СЊР·СѓР№С‚Рµ СЃР»РµРґСѓСЋС‰СѓСЋ РєРѕРјР°РЅРґСѓ:

```bash
pip install Kpick
```

### Basic Example
```Python
from Kpick import create_menu

menu_options = ['Option 1', 'Option 2', 'Option 3']
selection = create_menu(menu_options)

print(f'Р’С‹ РІС‹Р±СЂР°Р»Рё: {selection_index}')
```

### Advanced Example
```Python
import Kpick  

class Menu():
    def __init__(self) -> None:
        self.options = ["WireLessAttacl", "Wifi", "Hacking"]
        self.selected_index = None

    def main_menu(self):
        self.selected_index = Kpick.run_menu(self.options)

        if self.selected_index == 0:
            self.first()
        elif self.selected_index == 1:
            self.second()
        elif self.selected_index == 2:
            print("You selected Option 3.")

    def first(self):
        opt2 = ["Jammer", "Flood", "WPA PIN HACK","exit"]
        slt = Kpick.run_menu(opt2)
        
        if slt == 0:
            return(self.first())
        elif slt == 1:
            return(self.first())
        elif slt == 2:
            return(self.first())
        elif slt == 3:
            return(self.main_menu())

    def second(self):
        opt3 = ["Monitoring Mode", "Scan Networks", "exit"]
        slt2 = Kpick.run_menu(opt3)

        if slt2 == 0:
            return(self.second())
        elif slt2 == 1:
            return(self.second())
        elif slt2 == 2:
            return(self.main_menu())

menu = Menu()
menu.main_menu()
pywikipathways 0.0.3
Python Client Package for WikiPathways.
Requires Python: >=3.9

# pywikipathways
Python Client Package for the WikiPathways API

Use this package to interface with the WikiPathways API.
It provides programmatic access to WikiPathways content.

This is a Python port of [rWikiPathways](http://bioconductor.org/packages/release/bioc/html/rWikiPathways.html) R (Bioconductor) package.
The names of functions and their arguments are unified between the two.
(However, there is a difference between a camel case and a snake case.)

This project is inspired by [py4cytoscape](https://github.com/cytoscape/py4cytoscape) for [RCy3](https://github.com/cytoscape/RCy3).
Just as py4cytoscape ports RCy3 and function specifications to Python, pywikipathways also ports rWikiPathways functions to Python.

## Try pywikipathways with Google Colab
[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/kozo2/pywikipathways/blob/main/docs/pywikipathways_Overview.ipynb)

## Installation
```
pip install pywikipathways
```

## Instructions for installing the development version

1. Install Python and [pip](https://pip.pypa.io/en/stable/)
2. Install [Git](https://git-scm.com/download)
3. Install the development version of pywikipathways with the following command.
  ```
  pip install git+https://github.com/kozo2/pywikipathways.git
  ```

## Documentation
https://pywikipathways.readthedocs.io
dlc2yolo 1.0.0
Convert DeepLabCut dataset to YOLO format
Requires Python: >=3.8

# dlc2yolo

## Convert DeepLabCut dataset to YOLO format

## Quick Start

```python
import dlc2yolo as d2y
json_path = "./deeplabcut-dataset/labels.json"
csv_path = "./deeplabcut-dataset/collected_data.csv"
root_dir = "./deeplabcut-dataset/images/"

d2y.convert(json_path, csv_path, root_dir, datapoint_classes=[0, 1], n_keypoint_per_datapoint=30)
```

To install dlc2yolo using pip:

```
pip install dlc2yolo
```