Skip to main content

Show HN: RMOTR Notebooks – Free Online Data Science Environment https://ift.tt/2QwuagQ

Show HN: RMOTR Notebooks – Free Online Data Science Environment Hello HN. We're happy to show to the world a platform that we've created to help our students get started with Data Science: https://ift.tt/2Q0DRo2 We know how hard it is to start working with Data Science tools: setting up local environment, installing dependencies, keeping projects organized, etc. RMOTR Notebooks has Jupyter Lab already preinstalled + the ability to upload datasets. Our platform is now open to everybody for free, and we are thinking about adding paid tiers in the future with better hardware, GPU support, pro features, etc. We've also worked on a "publishing view" for project; so people can share their work with the world: https://ift.tt/2RpHAZ1... Would love to hear your feedback. November 29, 2018 at 08:54AM

Comments

Popular posts from this blog

Launch HN: Simmer (YC W19) – Reviews for Delivery Dishes https://ift.tt/2Y4sD67

Launch HN: Simmer (YC W19) – Reviews for Delivery Dishes Hi HackerNews community! We’re Vaibhav and Richard, founders of Simmer ( https://usesimmer.com ). Simmer aggregates dishes from DoorDash, Caviar, GrubHub, and basically every other delivery platform out there, and tells users the best dishes across the board. We do this by providing dish-level reviews. Users find highly reviewed dishes on Simmer, choose the delivery platform of their liking, and we deep link them into their chosen delivery app. We essentially lead gen to delivery. We started working on Simmer because we loved trying new restaurants, but never knew what to order. Especially, when there’s a 5 page menu. We always asked ourselves, “Why aren’t there ratings for individual dishes?” We launched our app with this restaurant-centric use case (reviews for every dish at every restaurant), but when we rolled out delivery integrations, we realized that users resonated most with the delivery angle. They found it particularly ...