Having done a math PHD and now working as a programmer I find math proofs and programming semi-similar. Though I think programming is less "relaxing." In mathematics if you have an argument that works and isn't insanely complicated you can call yourself victorious. You can look for a simpler method if you want but there is really no imperative to do so. In programming there is almost always a better way to solve a given problem and the differences in speed matter alot.
High barrier to entry. I expect that at my current skill level I'd get caught pick-pocketing the first time I tried it, and that would impact my ability to try it a second time.
It seems like you just really like programming.
There's a seemingly limitless amount of skills that fit these criteria:
I disagree with the statement that electronics "is basically still programming". There are similarities between the two, but also significant differences; particularly if you consider electronics outside of the digital realm.
I also do not understand why you question whether math is "useful in the real world". I imagine that anyone involved in engineering, science, finance, artificial intelligence, marketing or a great many other "real world" occupations would vouch for the usefulness of mathematics.
Social skills. If you have no skills at all, simply going to omegle and chatting with strangers can be a first step.
If you want to get further you can focus on dating, coaching, negotiating or networking.
Studying stuff using spaced repetition systems, e.g. Duolingo. (Though it may lack "useful in the real world" depending on, among other things, what exactly you're learning.)
Music. It's pretty much all math. Every part of it. When you try to learn a riff, and you play it, and it sounds like you think it should, interesting things happen.
Music theory is, in part, math. Music is art. There is only a tenuous connection between the two. I've known people who could teach all the underlying math, without being able to carry a tune or play a chord, and I've known an accomplished flutist who struggled to pass a music theory course because it touched on logarithms.
Whether it's simply a rhythm, or playing a melody, or adding a harmony, every part about playing music engages the math part of the brain.
That doesn't mean you need to understand calculus to play. It's simply addition and basic translations, but it's a constant barrage of adding things and subtracting things.
If it's a piano or guitar, or even a voice, you have to know that do re me fa, is whole step - whole step - half step. The fretboard or keyboard is a large numerical puzzle. It's right in front of you, and what makes a good singers is someone who ment...
Programming is quite a remarkable activity: