There's no discussion that MySQL is a widely popular option. Are we going to have an integration to run MySQL cells?

We all know we can schedule notebooks. That's one of the features that make Deepnote incredibly special. However, you can only execute one deepnote at a time.

On this occasion, I'll teach you how to execute multiple notebooks on the same day and even how to execute notebooks on different date intervals. This means that you can schedule notebooks to execute daily and others to execute every X number of days on the same project!

If this is interesting to you, I invite you to check out the project to teach you how to make this happen here: Execute Multiple Notebooks.

This idea was sparked after having an interesting conversation with Filip Stollar , Denis Shilov , and Eric Shen . Let me know if you have any comments.

As you can see in the image below, I'm under the team space Radial Inc. This project is private. However, I can move it to other team spaces, but I can't get it out from Private to the Radial Inc space.





My team in only one space has 14 integrations. A search bar to quickly identify the right integration would be useful.

Not that it is urgent, just a good thing to have to improve the experience.

The column's data type is JSON, but the preview shows up as [object Object]:




The raw output looks good:




Hello, I'm using the scheduling feature to execute multiple notebooks doing:

jupyter nbconvert --execute --inplace my_notebook.ipynb

But some of them have SQL tables and it gives me an error. Does anyone know a workaround?





Hello, when setting up PSQL integration, if I click in "Test Connection," it reports that the connection failed. However, when I run the SQL query, it is run successfully.




I have scheduled three notebooks that execute at 2 AM, but they've triggered again at 10 AM (CST timezone - America/Managua).

Something we love to do at Traction Tools is to drive actionable insights. We love to empower our people to make better decisions using data, and in this ocasion I got permission to publish an internal whitepaper that describes the process that we use to categorize our users using Bronze, Silver, and Gold labels. Hopefully this will help you as well.

This helps us empower our marketing campaigns, and also helps people to understand the spending behaviors of our customers. It's a great tool to identify areas of opportunity that sales, support, and marketing teams can use to help scale their processes

This will helps you understand:

The whitepaper is also extensively documented. If you're wondering how do we apply Deepnote to a well-stablished business then this is how. Many of the things you'll see here are taken from a lot of sources, like Datacamp, which we use to train our analysts. However, I made this one 😄

Am I late to the competition? I hope not 🙌

I'm confused with the CPU metric. It jumps from 0% to 100%, and sometimes it gets stuck at 100% with Pro machines. It makes me think that I'm using 100% of all 16 vCPUs.

How is that metric calculated? I think it would be ideal to have better CPU metrics to decide if I should use a Standard, Pro, or Performance machine. Thank you 🙂