I think the binary representation is the essence of floating point numbers, and if you go beyond the "sometimes, the result is slightly wrong" stage, you have to understand it.

And so far the explanation in the article is the best I found, not least because subnormal numbers appear naturally.

There is a mathematical foundation behind it of course, but it is not easy for a programmer like me. I think it is better to think in term of bits and the integers they make, because that's what the computer sees. And going this way, you get NaN-boxing and serialization as a bonus.

Now, I tend to be most comfortable with a "machine first", bottom-up, low level approach to problems. Mathematical and architectural concepts are fine and all, but unless I have some idea about how it looks like in memory and the kind of instructions being run, I tend to feel lost. Some people may be more comfortable with high level reasoning, we don't all have the same approach, that's what I call real diversity and it is a good thing.