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Lessons learned reinventing the Python notebook

This blog is adapted from a talk at an MLOps Learners demo day (slides, video). I worked on vector embeddings during my PhD at Stanford. I used Jupyter daily, because it paired code with visuals in an iterative programming environment. But I realized early on that we needed a Python notebook that was more than just a REPL. I spent a lot of time thinking about this, perhaps because I had just finished a stint at Google as an engineer working at Google Brain, where I thought a lot about computer s...

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