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Programming as Theory Building
Peter Naur's "Programming as Theory Building" discusses programming as a knowledge-building activity, emphasizing the importance of tacit knowledge, collaboration, and effective documentation in developing and maintaining software systems.
ratfactor.comSince folks are asking:
The books I mentioned on @xai spaces are "Linear Algebra Done Right" by Axler and "Naive Set Theory" by Halmos. Other math books that I really enjoyed over the years:
"Introduction to Algorithms" by Thomas H. Cormen & Charles E. Leiserson & Ronald L. Rivest & Clifford... See more
Greg Yangx.com
3 SOME SIMPLE NUMERICAL PROGRAMS
John Guttag • Introduction to Computation and Programming Using Python, second edition: With Application to Understanding Data
*Using Mathematics to Make Money* by legend Jim Simons.
8 page PDF free for download: https://t.co/DG5IhaPKf3
"Competitive Programming in Python"
This 267-pages book from Cambridge University will teach you 128 Algorithms. Don't miss.
For years, I have used Dummit and Foote as a source of problems & theory. However, now I have settled with Paolo Aluffi’s Algebra Chapter 0, Lectures on Algebra by Richard Elman, Analysis-Algebra sequence of Anthony Knapp, Course of Analysis by Barry Simon & Engelking’s Topology https://t.co/MO7qDdBi18
This number—which Gittins called the “dynamic allocation index,” and which the world now knows as the Gittins index—