pyoptimus 23.5.0b0

PyOptimus is a Python library that brings together the power of various data processing engines like Pandas, Dask, cuDF, Dask-cuDF, Vaex, and PySpark under a single, easy-to-use API. It offers over 100 functions for data cleaning and processing, including handling strings, processing dates, URLs, and emails. PyOptimus also provides out-of-the-box functions for data exploration and quality fixing. One of the key features of PyOptimus is its ability to handle large datasets efficiently, allowing you to use the same code to process data on your laptop or on a remote cluster of GPUs.

Stars: 1478, Watchers: 1478, Forks: 232, Open Issues: 29

The hi-primus/optimus repo was created 7 years ago and the last code push was 6 days ago.
The project is very popular with an impressive 1478 github stars!

How to Install pyoptimus

You can install pyoptimus using pip

pip install pyoptimus

or add it to a project with poetry

poetry add pyoptimus

Package Details

Author

Argenis Leon

License

APACHE

Homepage

https://github.com/hi-primus/optimus/

PyPi:

https://pypi.org/project/pyoptimus/

GitHub Repo:

https://github.com/hi-primus/optimus

Classifiers

• Scientific/Engineering/Artificial Intelligence

Related Packages

Errors

A list of common pyoptimus errors.

Code Examples

Here are some pyoptimus code examples and snippets.

GitHub Issues

The pyoptimus package has 29 open issues on GitHub

• Scheduled biweekly dependency update for week 29

See more issues on GitHub