Found in 3 comments on Hacker News
lancefisher · 2019-12-15 · Original thread
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.





joycian · 2019-06-20 · Original thread
Read this book:

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.

CodeSheikh · 2019-01-17 · Original thread
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")) []

- Design Patterns (by "Gang of 4") []

- Introduction to Algorithms (by "CLRS") []

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