It depends on what you're working on. If this function were part of a website backend counting characters in usernames or something, it doesn't really matter at all. But if this is a helper function that is responsible for comparing billions of base pairs in genetic sequencing or part of a stock trading platform where microseconds matter, then you need to rethink it.

Would it matter? I assume itll be a O(2n) vs O(n) but I'm not sure if that's a big deal.

Best!

Very clever;

What does the n != do

hello my name is Aabdulhay and you

I was thinking of this while doing it but I could not remember. Trying to do it all from memory.

Python doesn't have arrays and the code above isn't creating a list either. It's creating a generator and the creation specifically takes almost no resource, since the values are generated lazily.

AFAIK the difference comes from the code above calling isdigit function a lot of times, whereas replace is only called 10 times. Keep in mind, that both of the functions are highly optimized and written in C, so that's why the the code with more function calls and more python is slower. That also for example causes some O(n^2) algorithms to run faster in python, than an O(n log n) alternative.

Lol, me too. In case I need to translate it to C later.

I can't do this anymore

that is a smart solve ,, i like it , i know that is don't best practice and there was more solutions is more readable than it's but this is a new practice and a new way for the solution for me, so i like it.
i know my english language is bad :)

You just taught me how to use reduce, thank you!