Recent content by Isabella Hope

Hi everyone, I’ve been studying how mobile games manage performance, especially those that use heavier graphics, animations, and online matchmaking. Some games run smoothly even on mid-range devices, while others lag or consume a lot of RAM. One example I was looking at is [Spammy reference...

Thanks for the detailed explanation this makes things much clearer. I didn’t realize how much overhead comes from Python treating every integer as an object, including the constant type checks and the creation of new int objects during count += i. That definitely explains why even a simple loop...

Good question! On my machine, creating the list + looping through 1,000,000 items takes around a few hundred milliseconds total. It’s not “slow” in an absolute sense, but the increase becomes noticeable when I compare it to much smaller lists. I’m still trying to understand where that extra time...

Thanks for pointing that out I actually didn’t think about the fact that list(range(...)) itself is already an O(n) operation. I was only focusing on the loop. So in reality I’m timing two separate linear passes, which explains part of the slowdown. That definitely helps clarify things.

You’re right the algorithm matters more than the language itself. I’m checking the time complexity now to see whether the slowdown is coming from the way the list is being processed rather than the language. Thanks for pointing that out.

oth matter, but in different ways. Thinking outside the box helps you find creative solutions you wouldn’t normally consider. But knowing what’s inside the box the fundamentals, the rules, the limitations gives your creativity structure. Real problem-solving usually happens when both work together.

Hi everyone, I’m practicing Python and noticed something strange. When I run a simple loop on a small list, it’s fast—but when I run the same loop on a much larger list, the execution time increases more than I expected. Example (simplified version): data =list(range(1_000_000)) count = 0...