Teams

Data science projects can be complex, consisting of many parts, such as notebooks, data, environments, and scripts, and it can be challenging for data science teams to effectively collaborate on them.

Today we are happy to introduce the docker-based installation for Datalore Enterprise and a bunch of other ways to streamline your data science team work. Read on for the highlights of the release!

In this blog post we’ll share a few updates to database support and SQL cells, announce the first Datalore webinar, and tell you how Datalore has become even more collaborative.

Jupyter notebooks are arguably the most widely used tool in data science. However, when it comes to collaboration, resource management, and security...