https://github.com/mrpowers/polars-fun

Example notebooks for how to use pola.rs
https://github.com/mrpowers/polars-fun

Last synced: about 1 month ago
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Example notebooks for how to use pola.rs

• Host: GitHub
• URL: https://github.com/mrpowers/polars-fun
• Owner: MrPowers
• Created: 2021-12-28T22:27:55.000Z (almost 3 years ago)
• Default Branch: main
• Last Pushed: 2021-12-29T12:24:55.000Z (almost 3 years ago)
• Last Synced: 2024-10-12T00:12:02.318Z (3 months ago)
• Language: Jupyter Notebook
• Size: 7.81 KB
• Stars: 2
• Watchers: 3
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# polars-fun

[Polars](https://github.com/pola-rs/polars/) is an awesome Rust DataFrame library with Python language bindings.

This repo makes it easy to run Polars code on your local machine.

## Setup & installation

* Clone this repo

* Run `conda env create -f envs/polars-fun.yml` to create a virtual environment

* Run `conda activate polars-fun` to activate the virtual environment

* Optionally create synthetic datasets on your local machine to run some of the examples that use larger datasets.  Specifically, clone [coiled-datasets](https://github.com/coiled/coiled-datasets) and run `python create-scripts/timeseries.py` from the coiled-datasets directory.

## Notebook usage

Run `jupyter lab` to open a browser window where you can easily peruse the notebooks.

## Thanks

The Polars team has done a wonderful job creating an exiting DataFrame library and they should be celebrated for this excellent open source contribution.