It's very uncool that you don't make this very clear on the landing page.
> In addition, Content found on or through this Service are the property of Saga Inc. or used with permission. You may not distribute, modify, transmit, reuse, download, repost, copy, or use said Content, whether in whole or in part, for commercial purposes or for personal gain, without express advance written permission from us.
Is the "Content" the results of what is uploaded?
Also my take on the transpilation vs LLM is that you chose the right path. The point of transforming an excel spreadsheet to python is to have better organization and ability to reason about the operations being performed.
https://github.com/amzn/computer-vision-basics-in-microsoft-...
(I'm the primary author of the above.)
> turn psuedo-software Excel files into real-software Python
I'm curious how many people actually have this problem. It strikes me that the corporate environments that are building big hairy excel files probably have locked down IT where running python is a difficult thing to do.
In the environments where you can get some kind of python running, it's probably likely that developers are looped in as part of an efficiency project, and doing some kind of voice of the customer / requirements capture and starting to build from scratch more or less.
There's a vanishing window for stuff like this, if you're a Microsoft shop like 99% of the corporate world I think you are turning those excel files into power apps and powerBI dashboards, before you are hiring python devs.
https://formulas.readthedocs.io/en/stable/