I did undergrad linear algebra with my daughter last semester, and Strang and Axler were a good one-two punch, Strang for the computation, Axler for the proofs homework.
Pretty much all of grad level engineering classes, all of grad level Stats classes, all of grad level Econ classes include applications of LA. Heck quantitative research work in social sciences are still included via stats.
Before doing this, I'd only ever sort of skimmed Axler; it's sort of not the linear algebra you care about for cryptography, and up until the spectral theorem stuff that's exactly what Strang was. It was neat to get an appreciation for Axler this was.