After reading the Airbnb blog about their new Knowledge Repo [1] it seems that its difficult for data-science teams to work efficiently together; that there are issues with reproducibility and discoverability of others work.<p>I'm wondering what do you do in your company to solve this, or is it a problem for you?<p>[1] https://medium.com/airbnb-engineering/scaling-knowledge-at-airbnb-875d73eff091
Also Stripe wrote an article about this too - <a href="https://stripe.com/blog/reproducible-research" rel="nofollow">https://stripe.com/blog/reproducible-research</a><p>tldr: they use jupyter notebooks, and use an internal system to execute them upon commit.