Updates and thoughts about Deepnote and data science notebooks from the team building the future of IDEs for data scientists.
–– by Allan on January 6, 2022
Chances are you've experienced the initial excitement of learning something new followed quickly by a stark realization — you are not familiar with the prerequisites. You've actually got a mountain to climb! This article uses Great Expectations to highlight how Deepnote naturally lends itself to effective, context-based learning.
–– by Elizabeth on December 31, 2021
It’s the last day of the year! Here’s a recap of how the Deepnote team, community and product evolved in 2021. We wish you happy holidays, and a great start to 2022!
–– by Robert on November 29, 2021
Drive your product-led growth from Notion, and use Deepnote to keep your CRM up to date. Add new entries to your database, and enrich the existing ones using scheduled notebooks.
–– by Elizabeth on November 2, 2021
How to build charts over Notion databases and keep your analytics & storytelling all in one place
–– by Elizabeth on September 1, 2021
Throughout September 2021, you can find Deepnote on one of New York's biggest screens - the NASDAQ Tower in Times Square as a part of the Webex App Hub campaign.
By Jakub on June 15, 2021
Today, we’re launching Deepnote for Teams. And going forward, we will be building even more features that allow anyone in any organization (not just data scientists) to have a seat at the table.
By Jan on May 4, 2021
We looked at a couple of popular notebook platforms and compared their storage solutions both in managed and on-premise versions.
–– by Filip on February 25, 2021
How to build a design system at a fast-moving startup and still leverage all the benefits a design system offers.
–– by Simon on February 16, 2021
Introducing reactivity and how it solves the main challenges of data science notebooks
By Jakub on February 6, 2020
We’ve been working behind the scenes for the past year. Today, we’re excited to announce that we raised $3.8M from YC, Index and Accel to build a new kind of data science notebook. Here’s our story.