semvec/pypi-packages huggingface dataset:
JobTitleTransformer 0.1.20
A healthcare-focused job title transformation pipeline.
License: MIT
Requires Python: >=3.7

# JobTitleTransformer

This is a library to transform / enrich job title values coming from various sources (databases, csv's....). It performs data transformation in multiple steps using a modular approach.

This Package is dedicated to Health Care Sector and not suitable for other sectors and their Job Title values.

# IMPORTANT MESSAGE:

This library mainly focus on transforming / enriching job title values to a standard format. For successful Integration of this library you will need to have a column 'job_title' in your dataset or any other similar column. Very Important is you will need to RENAME 'job_title' as 'speciality' before execution and you will need to copy your original dataframe to a NEW DATAFRAME 'df'

***** Always use the most recent version *****

## Installation

Install with `pip`:

```bash
pip install JobTitleTransformer
svfmt-pkg 0.0.1
SystemVerilog formatter/wrapper generator
License: MIT
Requires Python: >=3.8

[build-system]
requires = ["setuptools>=61.0"]
build-backend = "setuptools.build_meta"

[project]
name = "svfmt_pkg"       # Unique name on PyPI
version = "0.1.0"
description = "A cool Python function"
authors = [
  { name="Valerio Venceslai", email="valerio.venceslai@synthara.ai" }
]
readme = "README.md"
requires-python = ">=3.8"
license = {text = "MIT"}
dependencies = []
hestia-earth-converters 0.0.6
HESTIA's set of file converters
License: MIT
Requires Python: >=3.9

# HESTIA Converters

> Library to convert from/to HESTIA format.

## Usage

1. Install the library and the converters you want to use:
```
pip install hestia-earth-converters
pip install "hestia-earth-converters[simapro]"
```
2. Convert an HESTIA ImpactAssessment to SimaPro format:
```
hestia-convert --output-folder samples --input-format HESTIA --output-format SimaPro --hestia-impact-id cocoaSeedWhole-ghana-2010-2025-20250916
```

The converted file will be stored under `samples` directory.

You can also use `hestia-convert --help` to see the all available formats.