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https://github.com/tomasoak/datahopper

Python package for data engineering and data wrangling
https://github.com/tomasoak/datahopper

data data-analysis data-engineering data-mining data-science data-structures data-wrangling datascience pandas python

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Python package for data engineering and data wrangling

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Data Hopper



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PyPI version




Python package for data engineering and data wrangling


___

Documentation: https://data-hopper.netlify.app/


## About

Developed aiming at saving many solutions that I have found working as Data Scientist/Engineer.


Hope this can be helpful to you as well :)

You can find out more on [Docs](https://data-hopper.netlify.app/) or on [PyPI](https://pypi.org/project/data-hopper/)


## Requirements

- Python >= 3.8
- Pandas >= 2.0.0
- NumPy >= 1.22


## Installation
You can install with [poetry](https://python-poetry.org/docs/) or [pip](https://pypi.org/project/pip/)


poetry:
```console
poetry add data-hopper
```
pip:
```console
pip install data-hopper
```

## Contributions
This is an open-source project, fell free to add your favorite data engineering and data wrangling solutions!

#### How to contribute
First, clone the repository


```console
git clone https://github.com/tomasoak/data_hopper.git
```

Install the requirements

poetry:
```console
cat requirements.txt | xargs poetry add
```
pip:
```console
pip install -r requirements.txt
```


Create a local branch


```console
git checkout branch
```


:rocket::computer: Add your best data engineering and data wrangling solutions and then open a [Pull Request](https://docs.github.com/en/pull-requests/collaborating-with-pull-requests/proposing-changes-to-your-work-with-pull-requests/about-pull-requests)


## License

This project is licensed under the terms of the [MIT license](https://github.com/tomasoak/datahopper/blob/master/LICENSE).