Monthly updates are here! Making sense of the MLOps Landscape, Community love, our MLOps philosophy, DVC Studio, R for DVC, new learning opportunities, team members and more!

Monthly updates are here! read all about our new R language tutorial, putting DVC to work on an image segmentation pipeline, and a new fast way to setup your DVC remote.

Catch our monthly updates- featuring new video docs and talks, new jobs at DVC, and must-read contributions from the community about MLOps, data science with R, and ML in production.

This month, catch us on the Software Engineering Daily Podcast, check out our favorite DVC and CML tutorials and projects, and celebrate 1000 YouTube subscribers!

What is the best way to integrate R and Python languages in one data science project? What are the best practices?

Here we'll talk about tools that help tackling common technical challenges of building pipelines for the ensemble learning.

There are a lot of example on how to use Data Version Control (DVC) with a Python project. In this document I would like to see how it can be used with a project in R.