Gary Sutton

Analytics aren't necessarily going to capture that, or at least we haven't figured out a way to do that adequately.

I think if we get to that point and do some of that analysis, then I think Jordan would maybe come to the forefront versus LeBron.

But I think the way we look at data now, I would say it's LeBron.

But again, I wouldn't necessarily agree with that.

let's move on to ai and that's your third book right right so we talked about my first book uh my second book is a little bit more i guess conventional or traditional where i do i do teach different analytical methods you know fitting different types of models and i teach other quantitative techniques and demonstrate how to implement those in python my first book was written in r second book in python

It's a little older than Python.

It's a programming language that was really developed just for crunching numbers.

Python is more of a general programming language.

It can be used for data science and does some marvelous things.

But you can also create a website in Python.

You can also develop application interfaces in Python.

R doesn't try to live in that space.

Absolutely.

They do similar things, but the syntax is very different.

Yeah.

But yeah, so my second book is a little bit more conventional.

I do teach different methods and again, how to implement those same methods in Python.

So my third book, which is still in development, but it will be released later this year, has a working title of Timeless Algorithms.

So the story really behind the book is we have artificial intelligence now, but where did that come from?

And it really is being powered or generated by algorithms that in most cases were developed decades ago.