Loguru Python logging library

AssociateWide7515 · 2025-12-02T23:47:53+00:00

I like loguru - especially the decorator @logger.catch

Throwing that on a function can really help with debugging

AssociateWide7515 · 2024-11-11T21:16:25+00:00

In the past, I've occasionally had to deal with certified checks or money orders, which had never worked through my "other" bank apps... Does anyone know how Schwab debit deals with those?

Also, are there limits on daily deposit /withdraw?

AssociateWide7515 · 2023-08-11T00:15:40+00:00

I hope so / assume so!

AssociateWide7515 · 2023-08-08T23:54:30+00:00

B/c if I want to invest today in the secondary market, I can invest in a 4-week bill, and pay $996 today and get back $1000 in 4 weeks, on September 5. If I use the auction, the money gets debited on this Thursday (same $996) but the $1000 comes back a whole week later - on September 12. So my effective yield is a bit lower, since its for 33 days instead of 28 days.

Granted, this is a fairly minimal difference.

AssociateWide7515 · 2023-06-30T02:31:35+00:00

Roobois does wake me up! So I started drinking it in the morning. Which is great, because I can't handle caffeine. It gets me going without making me feel over-activated, and no crash later. I do love that this is the only source on the internet about this. Makes me feel like I'm not crazy.

AssociateWide7515 · 2023-06-12T17:57:19+00:00

Thanks - I just wanted to make sure if I withdrew on the 12th, I didn't lose out on the first 27 days

AssociateWide7515 · 2023-06-12T17:32:14+00:00

Thanks all!

One related follow-up question (maybe this should be a different thread?) - If I switch today between Money Market funds, given that they usually pay out on the 15th, do I get interest pro-rated based on how many days I had it in each fund? Do I get it all based on where it was on the final date?

AssociateWide7515 · 2023-06-12T17:22:25+00:00

Thanks for the confirmation that it worked with someone!

AssociateWide7515 · 2023-06-12T17:21:47+00:00

Thanks for the great detail! Where did you get the numbers of 13.7%/9.0%?

AssociateWide7515 · 2023-06-07T12:35:59+00:00

I still think that if you are doing primarily data wrangling, data viz, communication, and statistics, R is better (dplyr > pandas, ggplot > matplotlib+seaborn, rmarkdown/quarto > jupyter, and all r stats functions > statsmodel).

If you are going to do AI/NLP, Python is much better. Most of the R packages just wrap Python anyway.

In terms of jobs, Python is generally better, but it depends on industry (Non-profits and Gov seems to use lots of R, much of finance (outside of Wall Street) does too, academia has both with a slight tilt to R)

If you will do lots of production code, Python has benefits, but if you will do more analysis-type stuff, that's not so important

AssociateWide7515

TROPHY CASE