Data Version Control and uv: Git reproducible data science from POC to prod

2 tech talks on data science tools, all experience levels welcome!

dvc by Gabrilelle Ebbens
Data scientists: Fed up of having loads of versions of your data and models to keep track of? Wish you could keep up with your data and models as easily as tracking code through git? Look no further! DVC is an open-source tool that allows you to track your data and models using a git-like methodology. This way you can easily keep track of any changes to your machine learning pipeline and run your data science experiments. DVC - Data Version Control has been central to enabling the Continuum Media Data Science team to rapidly prototype trained machine learning models while still being entirely reproducible on any machine by any team member.

Break: pizza sponsored by Continuum Media

uv by Ziyaad Bheda and Matt Kay
uv is a package and project manager for python that takes a radically different approach. From astral.sh (the same people who made ruff!), uv solves package environments 10-100 times faster than other tools, and also has the potential to replace multiple tools in your developer environment into a single unified system. This talk will introduce uv, and enable you to get started using it in your projects.

Continuum Media have graciously sponsored this event. Continuum Media builds the only managed service exchange for linear TV, and we build it right from Cardiff.