Jupyter notebooks with notes and examples implemented in numpy and scipy of the algorithm pseudocode from the textbook Scientific Computing by Michael Heath (Heath, 2018).
I compiled these notebooks while taking CS 450 Numerical Analysis at UIUC and they come without any guarantee of accuracy or endorsement by the textbook author. I started a similar repository with end of chapter review questions at marcoemorais/numerics-review.
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@book{heath2018scientific,
title={Scientific computing: an introductory survey},
author={Heath, Michael T},
volume={80},
year={2018},
publisher={SIAM}
}02-Systems-of-Linear-Equations
08-Numerical-Integration-and-Differentiation
09-Initial-Value-Problems-for-ODE
10-Boundary-Value-Problems-for-ODE