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> The course's main goal is to prepare the student for further studies in the "field" of data science. Does the material seem to have major gaps for DS to anyo

> The course's main goal is to prepare the student for further studies in the "field" of data science. Does the material seem to have major gaps for DS to anyone else? There's no pandas, no matplotlib, no ML. It seems like more a tutorial with a computer science focus, with recursion and bit manipulation. Those are great programming topics but rarely used by data scientists. For that I would probably use .py files, not jupyter notebooks. It just doesn't align with my experience as a Python-based data scientist.

webartifex 7y ago
Pandas and numpy & friends will be in Chapter 9 that I had not yet time to finish (the semester runs until end of April and is currently at Chapter 5). Furthermore, it is a programming (!) course, not (!) a data science course. Please define data science to me. Is it "only" curve fitting to you? Or also optimization (e.g., in logistics)? Then, dynamic programming (and because of that recursion) is super important. I rely on Jupyter notebooks mainly because it is a course for people with absolutely no prior experience that also do not major in CS. .py files are actually explained in Chapter 2 and will be used in a follow-up course.