A quick analysis using Deepnote

I’ve always loved jupyter notebooks, but I recently stumbled upon a new way to share them — Deepnote is easily the best free jupyter platform out there. Don’t just take my word for it — the popular data science blog KDNuggets has Deepnote at the top of its list of DS platforms for 2022 and again in 2023.

As a quick demonstration, I put together a notebook based on the well-known craft beer dataset from Jean-Nicholas Hould. You can check out the whole notebook directly as a Deepnote “app”.

I saved the dataset to my google account and created an integration to pull it into my workspace. Then I ran a quick SQL query to extract a subset of the data.

Then I created some additional columns using pandas and ran a quick analysis comparing IPAs vs. three other types of beer. It was easy to create a visualization showing some quick results. For example, Deepnote helped me show the relationship of alcohol content to bitterness. As ABV increases, IBU also tends to increase.

It was also easy to show that, on average, American beers tend to be more bitter than non-American beers, regardless of whether they’re IPAs or not.

All this took just a few minutes — the Deepnote integrations were seamless and the UI is intuitive. I never had to install a single thing onto my MacBook as it’s all hosted in the cloud.

Best of all, it’s completely free —while Deepnote does offer a premium service with additional features, everything I needed was available in their free tier. Time to raise a glass to Deepnote, my favorite new data science platform! 🍺