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Building the world's most popular data science platform
Practical AI: Machine Learning, Data Science, LLM
The Importance of Notebooks in Data Science Workflows
Joel Gross: In data science workflows, I think a lot of like some tables takes things since 2012 have been resolved. He says the idea that people can do somewhat literate programming is way better than if it was a bunch of opaque code and then a PowerPoint. But he thinks Jupyter Notebooks are a net good because they show people, ultimately again, back to that data literacy thing.
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