OP’s post history full of economic news about Argentina, but zero mention of the IMF loans they just gave them. You can only guess why?

https://www.imf.org/en/News/Articles/2025/04/12/pr25101-argentina-imf-executive-board-approves-48-month-usd20-billion-extended-arrangement

Guess they can’t in your case without internet connection.

I think that if your license is MIT then you don’t really understand why free software exist.

“And by thanks I actually means fuck you”

I use python for data sciences (kinda) and never write any classes or something object oriented, but given that dataframes are the bread and butter of everything I do, I guess I work in a object oriented workflow?

One day you are young and the next day you have a bag with bags.

One day you are young and the next day you are like wait a second I moped last Sunday!!

If the US ever try to take out the Panama channel it would fuck up bigly international commerce. Basically only the US military is going to use it because no insurance company is going to cover ships going through them, and without insurance ships can’t even leave port.

Square for doubt?!! I was wrong thinking it was cross for doubt?

The US already have nukes.

Vibe coding without Cursor

Settler colonial government doing what settler colonial governments do.

help bro

Also work the other way around, Jewish people from around the world that don’t accept the genocide being committed on their name are not going to move to Israel, while tha ones that are OK and support it are more likely to move in and participate directly.

“Death is so terribly final, while life is full of possibilities.”

There’s this categorical column of integers that have some excepcional cases where some letters are included. I need to process the column except the excepcional cases to format the column, but I just found put that it was giving me a problem because pandas imported it as mixed type while polars just imported it as string respecting the original correct formatting.

My company is moving to databricks, that I know uses pyspark but never used it, guess eventually I’m going to have to learn it too.

I had to move away from apply a while ago because it was extremely slow, and started using masks and vectorize operations. That’s actually what is being a roadblock for me right now, can’t find a way to make it work (use to do df.loc[mask, ‘column’], but df.with_columns(pl.when(mask).then()…) is not working as expected)

OCaml maybe

Does everyone call the function of the script main? I never use main(), just call the function what the program is supposed to do, this program calculates the IBNR? The function is called calculate_IBNR(), then at the end of the script if name = ‘main’: calculate_IBNR(test_params) to test de script, then is imported into a tkinter script to be converter to an exe with pyinstaller

How many lines are in a page?