First off, I don't like your sarcastic attitude. It's against the rules on HN to do that. Don't violate rules to be rude.
Second off, my example is just an example. It's not production level code. The intention of the example is to show "lifting" from from one type into another "category." The efficiency is less relevant here... in some contexts it can be faster in other contexts it could be slower or not even possible.
>Your gloss reveals further substantial misapprehensions about python basics (there are no regexps here, no it's not faster to do it that way, no it's not any more order preserving then iteration).
You sentence here reveals a failure in reading comprehension. I never mentioned what did was a regexp. I said you Could use a regexp to make it faster. A regexp if you know basic computer science is the one of the fastest possible string parsing operations. Take a course on Automata at a top university, this would be helpful in educating you, but you need to qualify first.
If there is a bottleneck it's in the casting functors str() and eval(). I didn't benchmark it and I very much doubt you did either. I suspect it is faster as the interpreter needs to "interpret" the data structure anyway regardless of whether or not it has string quotation marks around it so the parsing bottleneck is already there regardless of whether or not you have quotation marks. This is just a guess, and I'm pretty sure both of us are too lazy to generate actual specs to prove it either way. Stop throwing hard conclusions at things you have ZERO evidence for. If you do have evidence, show it, don't talk out of your ass... I'm willing to concede given evidence but without evidence you don't know what you're talking about.
The string does hold order preserving properties. You are absolutely wrong about this:
"{1:2, 3:,4}" during string manipulation can be made into "[1,2,3,4]" without sorting because the string itself is a List of ordered characters. Unserialized, the dictionary has no order. Again what's going on here is you misreading and not understanding my explanation.
>Assuming your problem is purely lack of experience, here's a word of advice: stay the hell away from abstractions for a year or two.
This is flagrantly offensive. Let me give you a word of advice. Keep your attitude in check, this kind of attitude can ruin your whole career after you get your ass fired. Any hiring manager would prefer a less technical person (which you have not demonstrated any dramatic ability in) over someone with a bad overly domineering attitude, and that is a fact.
>Instead try to form some basic mental model of a) how a computer and b) your main tools (such as python) work (have a very simplified model of how the CPU, memory network and SSD work, with numbers correct to 1 or 2 orders of magnitude; read a bit about the python implementation). Try to predict how much time/memory/etc something should take before you implement it. Then implement it in the most straightforward and direct way.
How does this have anything to do with the topic at hand. You are invoking OS and CPU architectural level concepts which are so far away from python it has basically nothing to do with it. An SSD? Are you serious? All of these low level operations are light years in distance away from python. If you want time and space analysis of both algorithms, at the python level/category theory level you just follow the standard model of Big Oh complexity. You want to get nitty gritty? get the bench marks or switch to something like C++ or Rust. Nowhere does anyone have a detailed enough mental model to map out how the python code will execute at the assembly instruction level.
Category theory is a top down approach to programming while computer architecture is more of a bottom up approach. Experts in both fields are unlikely to collide.
FWIW I double majored in Electrical/Computer Engineering and Computer Science 10 years ago from a top university. Not only do I have a general model of computing from semiconductor physics (this is below logic gates and non linear circuits and computer architecture, all said to patronize you.) all the way up to python, but I hate throwing down credentials for no reason... SO why did I do it here? because you decided to assume that I lack experience.