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Creating attractive, ready-to-share data visualizations takes forever. quickooks is a cut-and-paste Python package that does the design work for you and makes it easy to create beautifully simple data visualizations.

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alexdsbreslav/quicklooks

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quicklooks

quicklooks is a Python package for visualizing data quickly.
Check out the documentation by clicking here or by navigating to the folder how_to_use_quicklooks.

Why quicklooks?

Creating attractive, ready-to-share data visualizations takes forever. quickooks is a cut-and-paste Python package that does the design work for you and makes it easy to create beautifully simple data visualizations.

Who is quicklooks best for?

quicklooks is for any data scientist, product manager, or researcher that knows a little bit of Python and is analyzing their data in a Jupyter Notebook. My goal in writing quicklooks was to make data viz more efficient, but in the process, I've also created a package that is easy to use for beginners.

To install...

In JupyterLab:

  1. Open the Launcher by clicking "+" in the top left of the window.
  2. Select "Terminal"
  3. Run...
    pip install quicklooks
    

Once you've installed quicklooks, you can import it into each of your notebooks by using the follow code in the first cell:

import quicklooks as ql

Documentation

The documentation is here.

Acknowledgments

quicklook is built using Matplotlib, NumPy, Pandas, Coolors, opencolor, and seaborn.

About

Creating attractive, ready-to-share data visualizations takes forever. quickooks is a cut-and-paste Python package that does the design work for you and makes it easy to create beautifully simple data visualizations.

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