We're probably talking at cross purposes. Being aware is exactly my message as well.
I've been on way too many overdue projects where people went "but this doesn't scale" for stuff that's just not going to happen. Don't waste time on avoiding so called bad algorithms if there's just not that much data going through it. But yeah, don't write a badly scaling algorithm if it does.
Most lists are just way too small to care about the difference. Literal single digit number of items, and a small loop body. You can go up 3, 4, 5 orders of magnitude before you can even measure the nested loop being slower than lower big-O solutions, and a few more before it becomes a problem.
But if you have that one loop that goes into the millions of items and/or has a big body, you'd better be thinking about what you're doing.
I've been on way too many overdue projects where people went "but this doesn't scale" for stuff that's just not going to happen. Don't waste time on avoiding so called bad algorithms if there's just not that much data going through it. But yeah, don't write a badly scaling algorithm if it does.
Most lists are just way too small to care about the difference. Literal single digit number of items, and a small loop body. You can go up 3, 4, 5 orders of magnitude before you can even measure the nested loop being slower than lower big-O solutions, and a few more before it becomes a problem.
But if you have that one loop that goes into the millions of items and/or has a big body, you'd better be thinking about what you're doing.