Is there a book somewhere that tries to set out all of the things that experts know about computing that they don't remember learning? (In Zed Shaw's conception, this might correspond to "learn computing the hard way".) I see his examples and other examples here in this discussion, and it makes me wonder about the value (or existence) of a very thorough reference. I've also encountered this when working with lawyers…
I want to emphasize that while learning abstract functions, and understanding that code syntax is an abstraction for electrons moving through logic gates are fundamental concepts for an early programmer, learning those concepts was less frustrating for me than finding somewhere to write the text I had learned from codecademy. I am a chemist by formal training, I took an extremely abstract multivariable calc course in college that taught me Big and Little O, and functionalized concepts most people learn by rote "drills," and I consider learning new concepts my strongest career skill. I don't mean to humblebrag here, but rather to refute the only-somewhat-popular sentiment I've seen on HN that non-coders "can't get shit done." No. I am a non-coder that does shit. In moving from chemistry to neurobiology and biophysics, there are basic skills that can't be found in a textbook, like _this is a pipette_, and _this is a flask to grow cells_, and if you don't know those things you won't be able to do experiments, and you'll fail the informal subtext of an interview. The best resource I've found in (three years of reading HN anonymously) for analogous tool-teaching in code has been Michael Hartl's book on learning Rails, so thanks again mhartl! The first two chapters of that resource were more treacherous (but ultimately well-guided and successful) than teaching myself d3.js. A true, zero-level, adult beginner's guide to some code---manipulating an excel sheet in Python, writing an API-interacting tweet bot---would be a great boon to people like me.