Ask HN: What is a good resource for learning GR for an applied learner?

I have been interested in learning the math of General Relativity for a long time. I have made a couple of attempts by reading books (Peter Collier's "A Most Incomprehensible Thing" for example) but it didn't pan out. I find that learn things best if I can apply them somehow and I find it difficult to keep my attention by just reading the books or watching lectures - even if I am taking notes.

Is there any resource for learning general relativity and related concepts/math that also includes a programming/numerical (Jupyter notebook?) component to it that I can follow along? Some examples of such resources for other areas would be: "Raytracing in a weekend" or this one on Kalman filters: https://github.com/rlabbe/Kalman-and-Bayesian-Filters-in-Python

I have a background in aerospace engineering & I write software at my day-job (Rust/Python/C++ etc.). I am very familiar with optimal control theory and variational calculus. I want to learn GR to a level of proficiency that I can simulate relativistic stuff in software (gravitational waves from pairs of orbiting black holes or trajectory of a relativistic spacecraft for example). Does such a resource exist?