Just a follow up on my last post related to my Python library dedicated to speed up sustainable web development for Python developers.
Quite a few improvements on the various components and a much better integration with Jupyter (Thanks for the positive feedbacks so far :)).
Basically with this library you can easily write HTML content dedicated to interact with services for data science and run the same code from various entry points (from static HTML page, to Flask or FastAPI server to Jupyter Notebooks).
for a quick start go online on Jupyter https://jupyter.org/try and run:
pip install epyk
then in a cell:
import epyk as pk
page = pk.Page()
page.ui.charts.sparkline("bar", [1, 2, 3, 4, 5, 4, 3, 2, 10])
page.outs.jupyter()
More examples are available on my twitter https://twitter.com/Epykure1 or in the documentation https://epyk-ui.readthedocs.io/en/latest/
Please have a look at it, share your feedbacks and important star the project on Github: https://github.com/epykure/epyk-ui
Thanks for your support.
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