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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