semvec/pypi-packages huggingface dataset:
normalize-currency 0.3
Normalize and convert mixed-currency columns in pandas using a simple accessor.
License: MIT
Keywords: currency normalization pandas forex

# normalize_currency

A Python package to normalize and convert multi-currency columns in pandas.

## Features
- Extract currency symbols or codes from messy strings
- Map to ISO 4217 currency codes
- Convert to a target currency using live exchange rates (`forex-python`)
- Use as a pandas accessor: `.currency.normalize(to='USD')`

## Installation

```bash
pip install git+https://github.com/IamUsmanBro/normalize_currency.git
```

## Usage

```python
import pandas as pd
df = pd.DataFrame({'Pay': ['$1000', '€800', '₹70000']})
df['Pay_USD'] = df['Pay'].currency.normalize(to='USD')
```

## License
MIT
ultragrad 0.1.0
An automatic gradient engine for training your all in one deep learning model
License: MIT
Requires Python: ==3.13.2

# Ultragrad
> This project is in early stage

Ultragrad is an automatic gradient engine inspired from Andrej Karpathy's [micrograd](https://github.com/karpathy/micrograd) and it doesn't bite, it gulps the multi-dimensional tensor for it's hunger to learn your data. 
![Puppy Image](puppy_beast.png)

## Installation
> `uv` is recommended

Install `ultragrad` via `uv`
```
uv add ultragrad
```

You can use pip to install 

```
pip install ultragrad
```

## Docs
> Docs is in under **construction** 🚧

## Contributions
> Contribution is open to all ! if you got new ideas/features create a new issue !!!