Several viewers have asked for additional learning resources after my recent video on Big-O notation and algorithms. You can watch the video here: https://youtu.be/XlkBOxdlSzo
Learning the theory of algorithms is one of the best ways to grow as a programmer, whether or not you use AI tools. It sharpens your intuition, helps you reason about the tradeoffs you make, and gives you confidence when facing new problems.
Zoran on C#
Several viewers have asked for additional learning resources after my recent video on Big-O notation and algorithms. You can watch the video here: https://youtu.be/XlkBOxdlSzo
Learning the theory of algorithms is one of the best ways to grow as a programmer, whether or not you use AI tools. It sharpens your intuition, helps you reason about the tradeoffs you make, and gives you confidence when facing new problems.
If you’d like to dive deeper, here are two excellent resources I highly recommend:
📘 The famous "Introduction to Algorithms" book by Thomas Cormen, et al. codinghelmet.com/go/introduction-to-algorithms-boo…
🎓 Stanford University’s "Algorithms Specialization" 4-course series on Coursera codinghelmet.com/go/coursera-stanford-algorithms
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1 month ago | [YT] | 16