Topic

Many people in the data science community are familiar with jupyter notebooks and use them regularly as part of their day-to-day tooling. While jupyter notebooks have a lot of extensions and are a great way to combine documentation with code, they don't come without drawbacks. One of the biggest drawbacks is the execution order of the cells. The other drawback is looking at the code changes between commits when trying to upload notebooks to GitHub. To solve these shortcomings, marimo notebooks were created. This talk will demonstrate marimo notebooks' functionality, the modes in which you can run them, and other marimo features.