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Jupyter + Pandas for an intuitive, beginner-friendly data analysis workflow

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In this talk I'd walk through what I think are the best features of Jupyter (like magic methods, multimedia, several options for markup language, built-in documentation) and the best features of Pandas (powerful I/O, intelligent treatment of datetime) and analyze a public dataset. In this way I'd demonstrate that, as is typical of Python efforts, this is an extraordinarily lucid and beginner-friendly way to do data analysis in an open, replicable way.

"I'll also make the notebook and dataset available in advance of the talk so people can follow along. "

  • Melissa Lewi

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