semvec/pypi-packages huggingface dataset:
pyunitconverter 0.5.1
Library of Python functions to converts units
License: MIT
Requires Python: <4.0,>=3.9
Keywords: units, conversion, helper

# pyunitconverter

## Description

`pyunitconverter` is a Python library of functions for unit conversions.

## Modules

- `pyunitconverter.energy`: conversion of energy units
- `pyunitconverter.length`: conversion of length units
- `pyunitconverter.mass`: conversion of mass units
- `pyunitconverter.prefixes`: prefixes for units of the International System (ie: kilo, mega, ...)
- `pyunitconverter.speed`: conversion of speed units
- `pyunitconverter.temperature`: conversion of temperature units
- `pyunitconverter.time`: conversion of time units
- `pyunitconverter.volume`: conversion of volume units

## Installation

```bash
python -m pip install pyunitconverter
```

## Usage
Example 1
```python
from pyunitconverter.mass import ounces_to_kilograms

mass = 10

print(f"{mass} ounces = {ounces_to_kilograms(mass)} kg")
```

Example 2
```python
from pyunitconverter.prefixes import PREFIX_KILO

length = 5.2

print(f"{length} km = {PREFIX_KILO*length} m")
```
apple-health-extractor 0.1.6
This library provides functionality to parse and extract data from the XML exports of Apple Health app, enabling users to analyze and utilize their health data conveniently.
License: MIT
Requires Python: <4.0,>=3.8
Keywords: data extractor, apple health data

# Apple health data extractor
This library provides functionality to parse and extract data from the XML exports of Apple Health app, enabling users to analyze and utilize their health data conveniently.

### Features
Convert health data from XML format to JSON and CSV.
Retrieve types of records present in the health data.
Extract records of a specific type.

### Installation
You can install the library via pip:
```python
pip install apple-health-extractor
```

### Usage
```python
from extractor import Extractor

# Initialize the extractor with the path to the XML file
extractor = Extractor("path/to/health_data.xml")

# Get the health data as JSON
json_data = extractor.get_json()

# Save the health data to a CSV file
extractor.save_to_csv()

# Get the types of records available in the health data
record_types = extractor.get_record_types()

# Get records of a specific type
specific_records = extractor.get_records("HKQuantityTypeIdentifierHeartRate")
```

### Contributing
Contributions are welcome! Please fork the repository and open a pull request with your improvements.

### License
This project is licensed under the MIT License. See the LICENSE file for details.