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numerical-linear-algebra
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
Write some extra notes giving a basic introduction of something like sympy and numpy to start off the course, then expect the students to be able to fill in the gaps through the official documentation/google as they come up for homework problems. Teach the rest of the course in a library agnostic manner (i.e. focused on the algorithms rather than the specific implementation)
Wow I am in a really similar boat except with Calculus! This is the latest hot topic for courses... So far I've been using a combination of SymPy tutorial, really basic explanations a la Python from the very beginning and realpython.com , and cutting our current Calc material down to the basics... but I haven't figured out how to best do productive projects using Python :-(
In that case, I would probably be temped to teach a numerical methods of linear algebra course using NumPy / Numba. Something like https://github.com/fastai/numerical-linear-algebra or https://pythonnumericalmethods.berkeley.edu/notebooks/Index.html