[frays]

The previous discussion was fascinating: https://news.ycombinator.com/item?id=29104047

Does anyone working at one of these banks or similar know if this information still holds true?

And have any of the banks started using uv yet? Or will they forever be using pip?

[neongreen]

I worked at Standard Chartered and it's a bit similar, but it's hard for me to judge how much.

SC has its own Haskell compiler that produces bytecode that you can run locally, serialize, send to be executed somewhere else, etc. Most of the code still lived in a monorepo, though.

We did have a global data store (well, several) that any code could access. I was working on a more "normal" application that was still written in the SC haskell dialect but otherwise mainstream architecture -- postgres, deploying to a boring linux server, etc.

A colleague once described our dialect as "Python that looks like Haskell". This is an exaggeration, but a) we did use a lot of untyped dicts and everything-is-a-giant-relational-table structures, and b) my understanding is that the actual financial modelling was done in C++ and the SC Haskell was glueing things together. Idk.

About uv -- I did try to convert ppl to uv but it probably didn't spread further than my few colleagues at the Warsaw office.. well and also I merged a monorepo-wide documentation system that used sphinx and uv, but idk if it's still alive after I left.

[roryirvine]

Back then, I was working on a project for a mid-market investment bank which aimed to build a self-service platform to host more "standard" python apps whilst still allowing them some of the benefits of what TFA refers to as Bank Python (speed of deployment, ability to spin up short-lived experiments with minimal hoop-jumping, structured data model, etc).

There was certainly a widespread understanding that doing things the "Bank Way" made recruitment difficult, and they hypothesised that it was also a significant drag on their ability to turn around new projects. The main goal of the new platform was to provide an alternative way of doing things which would allow them to quantify that drag.

I know that the pilot was completed, and it went on to a more widespread deployment - but my involvement with it had already ended so I can't say if it actually proved their hypothesis / provided the quantitative data they wanted.

[calpaterson]

They don't use pip, you just import the module and it is pulled from barbara