semvec/pypi-packages huggingface dataset:
num2word-uz 0.1.1
Convert numbers to words in Uzbek language
License: MIT

# Number to words
This project is to convert numbers to words in Uzbek language.
## Usage
1. Integer numbers
```code
from num2word_uz import num2word
number = input("Sonni kiriting:") # 15
num2word(number) # o'n besh
```
2. Float point numbers
```code
from num2word_uz import float_num2word
number = input("Sonni kiriting:") # 2.3
float_num2word(number) # ikki butun o'ndan uch
```
3. Roman numbers to numbers
```code
from num2word_uz import roman2digit
number = input("Rim raqamini kiriting:") # VI
roman2digit(number) # olti
```
#### Requirements
- Python >= 3.8
vintasend-celery 1.0.1
Celery adapter for VintaSend
License: MIT
Requires Python: <3.14,>=3.10

# VintaSend Celery

Celery adapter base implementation for VintaSend. 

This package doesn't implement an actual adapter, but it helps you to make an existing adapter to run from a Celery worker.


## Installation

To install VintaSend Celery you need to run the following command:

```shell
pip install vintasend vintasend-celery
```


## Quick start

To use VintaSend Celery you need to manually register your tasks