Topics

• Marimo: The next generation notebook
  By: Henry Cuzco
  Experience Level: Novice
  Length: 30 Minutes
  Description:

  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.

• SQL Testing: Python Tools, Patterns, and Automation
  By: Paul Zuradzki
  Experience Level: Intermediate
  Length: 45 Minutes
  Description:

  This talk is a practical introduction to SQL testing using Python. We’ll cover why testing SQL can be tricky, compare strategies for preparing a SQL test environment and preparing data, how to check for schema breakages, data validation checks, automated formatting, and automated testing in local or remote environments. Attendees will leave with patterns and code examples to make SQL pipelines more reliable and maintainable.