Made Dash Apps Even Faster with Polars

A demo of how much faster Dash apps could be when filtering data with Polars for python instead of Pandas.

The Code:

Plotly Forum:

View my book - The Book of Dash:

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[vineetsansi]

I was a R follower because of Rshiny dashboarding and datatable speed but now Python with its fast Polars (R like syntax) & many dashboarding libraries have made my favorite changed from R to Python.

[AIdevel]

Hi Adam this is extraordinary, this is what I was looking for precisely because after deployment apps slow down even more
Thanks very much from Saudi Arabia Abha

[Vijaya_Yeruva]

Your content is very helpful. Can you make a video showing how to deploy the Dash app to the Firebase hosting platform? The existing resources are too complicated to follow.

[pyalgoGPT]

Awesome, make a video on polar vs dask, and using polar work prefect workflow ... For this same task on real-time websocket datafeed, where convertion of json to float need to be done on the real-time! Then ploting also!

[omrahulpandey]

Is there a way to build dashboards in Django apps i.e integrate them in the website built with Django with Dash? The website may contain features built with D3.js, leaflet, React js, etc. I have watched videos on YouTube and read some articles, but I have not yet seen a project/ example which gives their integration/usage together seem natural/smooth. If possible can you bring a tutorial video with their integration to built interactive maps/charts/dashboards. Its just a suggestion.

[JuanCruz-lsus]

Great video! I wanted to ask if there's any way to stop the localhost when I close my dash app (without doing ctrl+c in the command line)

[venkat]

please please while doing tutorials increase the font size and change the theme something bright so that audience can see without eye strain otherwise too much eye strains to see your small font dull themed videos. It is very hard to read the code with this theme and font style and small font sizes.

[skatastic]

Polars is the shit. Pandas is shit. One note, you don't need to invoke `.lazy()` after a `scan_` because that returns a lazyframe. You only invoke `.lazy()` if you want to convert an eager df to a lazy one