I've had @j2kun 's "A Programmer's Introduction to Mathematics" on my shelf for probably three years now and finally have found time during my PhD to read it and WOW, highly recommend, even just for a recap of concepts like eigenvectors, graph theory, gradient descent, etc. Incredible that this is a self-published "written on nights and weekends" book - it's better than most textbooks I've had 💪 I only wish I'd found it sooner! #math #programming #computerscience #academia
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Jane (janeadams@datavis.social)'s status on Saturday, 21-Dec-2024 07:15:55 JST Jane -
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Greg Wilson (gvwilson@mastodon.social)'s status on Saturday, 21-Dec-2024 07:15:54 JST Greg Wilson @janeadams one of my mistakes when I started Software Carpentry was thinking that knowledge only needed to flow one way. In retrospect, for every lesson on version control for mathematicians and biologists, there should have been a lesson on math or biology for programmers who were going to work with scientists. And one of the many things that makes me angry about how science is funded is that there isn't a National Education Foundation alongside the NSF to support work like @j2kun 's book …
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Jeremy Kun (j2kun@mathstodon.xyz)'s status on Saturday, 21-Dec-2024 07:15:54 JST Jeremy Kun @gvwilson @janeadams There are enough programmers interested in math that I wouldn't need the funding, but it would be great for less marketable topics. For example, I know a guy who is an absolute wizard with respect to the intersection of chemistry and computer science, but it's not commercially feasible for him to spend time writing a book with all his accumulated knowledge in it.
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