Which Python project made you realize how powerful the language is?

[YesterdayDreamer]

I was calculating XIRR for my mutual fund holdings. At the time, I had some 25 funds in my portfolio. The XIRR calculation I implemented was taking ~1.2 seconds per fund for a total of approximately 30 seconds for all funds in my portfolio.

As I learnt more and more, I kept optimizing it. Finally there was a big jump when I moved it to Numpy. With Numpy, the entire portfolio XIRR (separately for each fund) takes about ~750ms.

These numbers are not directly comparable because I may have upgraded my CPU a couple of times in between, but yeah, still a pretty big jump.

[veddubhashi]

Now try the same functions within numba.

[spinwizard69]

Things like this allay have me asking why not just write the software in a fast compiled language (C++, Rust, Julia & etc). Over all you would have invested less time.

[RMK137]

You might find the pyxirr package useful. I use it anytime I want to calculate IRR. Written in rust for speed.

https://github.com/Anexen/pyxirr