Jupyter in Production

Retaining the flexibility, interactivity, and rich expressiveness of Jupyter Notebooks in production data analysis and machine learning workflows

Please join PyData Pittsburgh for the talk Jupyter in Production from Patrick Harrison! We'll be at the Outdoor Classroom at the Frick Environmental Center in Frick Park.

About the talk

Over the last ten years, Jupyter Notebooks have firmly established themselves as an indispensable environment for data analysis and machine learning development. However, Jupyter Notebooks can be difficult to integrate, deploy, and operationalize within conventional software engineering workflows, so much so that some software engineers and DevOps specialists discourage the use of Jupyter at all.

Recently, many dedicated developers have been creating a new ecosystem of tools that address the challenges of using Jupyter in production software environments. In this talk, we'll explore some of these tools and show how they can be used to retain the flexibility, interactivity, and rich expressiveness of Jupyter Notebooks in data analysis and machine learning workflows in production.