But so Carlton's going to do most of the questions today. So I'll just get one in there and then let you two go. I was just going to say I recall from learning accounting, not at a CPA level, is very similar to programming. And then when you first learn it, it seems very binary. And then as you progress, I think specifically of like managerial accounting, it's just wildly subjective in the same way that programming, there are some things that are sort of black and white, but it's way more subjective than it seems on the surface. So it seems like a pretty natural overlap, actually, if you have a brain or training in one or the other that they would apply.

I think there's a different spectrum. You can get real technical accountants and, you know, tax is a good example of this where it's very rules-based. On the other end of the spectrum, I work for a strategy team. What's going to happen in the future where it's the business going? What does the world look like in five years? And that's very much, you know, blue sky

thinking. Yeah, I mean, that's got to be fancy graphics with no real numbers on and stuff like that. Just up until the

right. Yeah. Lots of power. Lots of power points. Okay.

So we kind of jumped right in because it's really interesting because from inside the Python world, it really looks as if Python's gaining massive ground share out, you know, in the quote unquote real world, right? But so you're an accountant and do you're using Python at work really or is it still VBA?

It's still VBA. I think there's still some reluctance to be able to work in financial services, rules and regulations, it's not something that teams here have this thing and go do with it what you want, but we don't really know it and we can't really control it. It's a big risk for an organization. So I think if kind of touching what we said on earlier, if it's an Excel, that's a much more controlled and structured environment for end users, end users computing be able to really use the power that Python has really.