Articulating the ineffable. Programming language theory 
cognitive psychology. PhD @Stanford
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I feel like data science is underappreciated as a pathway into programming. Numpy/Pandas embody the LOGO ethos: 1) DSLs where operations map to existing vocab (i.e. high school statistics), 2) highly visible program state (Jupyter + dataframes).
Particularly since "data scientist" is rapidly becoming a major/profession unto itself, seems like more effort should go into thinking about how computational thinking could be introduced in the context of data science courses.
What if you replaced CS1 with intro to data science entirely? Data analysis seems more fun and accessible than Fibonacci, or printing out an ASCII pyramid.
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