Think Linear Algebra (2023)

(allendowney.github.io)

70 points | by tamnd 6 hours ago

4 comments

  • s-zeng 1 hour ago
    Matrix multiplication introduced before vector addition... the "Linear Algebra Done Right" in me is screaming inside.

    That being said, it is definitely cool to have a Jupyter-notebook based set of examples of practical linear algebra

    • bsoles 29 minutes ago
      And eigenvectors in the first lesson!
      • finghin 16 minutes ago
        I think at the beginning of learning LA I would have benefited from a more broad introduction to the topic by explaining that it is the algebra of transformations, generally linear transformations, and also the art of quantifying those transformations in meaningful ways.

        I would have benefited from some more handwaving in this regard (matrix multiplication, eigenvectors and eigenvalues) and less on the mechanics of the operations, before starting on the basic technicalities. But a “lesson” on these topics on day 0 is too soon

  • The_Blade 14 minutes ago
    Linear Algebra is dope, as in when we got to apply some mid-level linear to a real business problem and it worked i got high
  • fnord77 16 minutes ago
    I got my hands on a stanford Math 55 textbook and tried to do the exercises in numpy.