These are great suggestions!

A few years ago I worked through building a spreadsheet in JavaScript. It was a great introduction to interpreters. I read through Writing an Interpreter in Go by Thorsten Ball [1]. Constraining the interpreter to execute formulas in cells was a straight-forward way to approach building one from scratch.

Writing a Pratt parser as part of this forced me to understand how it works. Figuring out how to process a sheet led me into algorithms and structures like directed acyclic graphs (as mentioned in the article). I found myself referencing Introduction to Algorithms and really studying it [2].

In the end I turned it into a talk at Big Sky Dev Con in Montana. The whole thing was a good experience - from researching how to do it, to sticking it out through the implementation, to distilling it to a 45 minute talk. Be sure to check out the recording [3] and code [4] if you're interested.

Any of these suggestions will lead you down a rabbit hole of learning with a clear objective in sight to keep you motivated to dig deeper.

[1] https://interpreterbook.com/

[2] https://www.amazon.com/Introduction-Algorithms-3rd-MIT-Press...

[3] https://www.youtube.com/watch?v=Sj4h0DcVLL0

[4] https://github.com/lancefisher/cellularjs

Read this book:

https://www.amazon.com/Introduction-Algorithms-3rd-MIT-Press...

It's all in there. Put away a week of time to really start digging into it, get into the habit of learning from a book. I'd say it's worth it.

Nice list. Appreciate it. But I see there are a few amazing software books missing from the list such as:

- Clean Code (by "Uncle Bob")) [https://www.amazon.com/Clean-Code-Handbook-Software-Craftsma...]

- Design Patterns (by "Gang of 4") [https://www.amazon.com/Design-Patterns-Elements-Reusable-Obj...]

- Introduction to Algorithms (by "CLRS") [https://www.amazon.com/Introduction-Algorithms-3rd-MIT-Press...]