"We're working in uncharted territory and our work is highly R&D focused. Machine learning is a very empirical discipline, so iteration speed is everything. Working in Deepnote is like code review and rapid prototyping at the same time, saving valuable time in the iteration cycles. But as opposed to code review via GitHub, you have direct access to the runtime and program state, which makes understanding complex models much easier and leads to much more spontaneous creative ideas."
"Delightful user experience reminds me of Superhuman with the command palette and constant reminders of how to use hotkeys to work more efficiently."
"We are happy with Deepnote because it is a deeply technical and powerful tool that is also extremely accessible and intuitive. The data platform team has built an area where people can not just do great work, but share great work. Deepnote isn’t just accessible by experienced data scientists, it’s a tool where business analysts can do exploratory work and quickly migrate their ideas to production-grade systems and processes."
"I knew I’d made the right decision when I started getting feedback from data scientists about how delightful their user experience was."