Hyperblocks aren't just super expressive, they're also really fast. Over the past two years we've been rethinking introductory computing from a data perspective. Which data is ubiquitously available, fun and engaging? We believe there's computational beauty and joy to be discovered in all the media that's on your phone and in your cloud: Movies, video clips, sound tracks, songs, pics, snaps, stories, poems, streams and whatnot. All of this is just digital data, yours to p0wn with math! Watch out for our new online course "From Media Computation to Data Science" coming up this fall!, Snap!6 is here, and it's all about scale. Thousands of miles apart, yet online together, our team of UC Berkeley researchers, SAP engineers and educators from multiple countries and continents just had a party releasing the biggest update to Snap! for years. Over the past months we've rewritten Snap's Morphic kernel to optimize graphics rendering while demanding significantly less memory. And , This category is for people interested in the inner workings of Snap!: what's inside its implementation, how to extend it, and so on. Please do not post advanced-topics-ish messages elsewhere. The goal is to ensure that the vast majority of users, who make projects in Snap ! without knowing how it works, aren't scared away from the forum or .