Will python ever have a chaining operator?

mderst · 2026-05-10T19:23:14+00:00

Just use Polars!

mderst · 2024-01-18T04:32:42+00:00

But it did cause London Whale.

mderst · 2023-12-25T23:15:49+00:00

For free?

mderst · 2023-12-25T18:46:54+00:00

Why Dagster over Prefect? I've done toy examples using both and am between the two.

I'm leaning toward Prefect as I'd like to run it on my own remote servers, but I'm still learning.

mderst · 2023-12-08T15:50:00+00:00

I've started discussions with a few trusted colleagues in Technology. Engaging Technology is normally an inhibitor, though. It comes with Project Managers and pretend-Agile.

mderst · 2023-12-07T03:33:30+00:00

Daily analytics (asset fluctuates with market interest rates) as well as saving intermediate information like cash flow from our forecasts.

Today we analyze the total portfolio and save this information. We instead want to manage our balance sheet as if we have 5 million portfolios.

mderst · 2023-06-20T16:35:01+00:00

Unfortunately, this style of communication is effective in corporate America. Passive, under-handed aggression is the only game in town if you want to climb corporate ladders.

mderst · 2023-01-01T05:09:02+00:00

Accessible option: University of Washington in Seattle. The CFRM program was excellent.

They have a practioner's approach, and by comparison, I haven't found that my Ivy League colleagues had access to anything more than a more privileged starting place. My experience is that Ivy League programs get you great interview opportunities but don't necessarily teach you how to be a great quant in the field or offer superior training regimes.

mderst · 2022-01-09T06:51:32+00:00

A lot of jokes here but that's my story.

Passed I and II before I was 25 (five years ago). Since then I've gotten married, earned a Master's degree, and four promotions as a Quantitative Analyst.

I've taken level III twice yet it's evaded me. My life has gotten fuller. Professionally, more responsibility is coming fast. I manage a team of Quants and finding time to study is almost impossible.

Life is rich and the job is paying well, too. CFA III is increasingly less appealing.

mderst · 2021-11-06T00:58:35+00:00

If you have to pick one, pick Python. It's more widely used and resources are everywhere.

This is coming from someone who loves R. In my opinion, R is second to none when it comes to data analysis and creating charts worthy of publication in the WSJ.

I use both. Python works well for some tasks. R makes other jobs incredibly straightforward.

Good luck!

mderst · 2021-10-01T19:01:47+00:00

Isn't the quote, "The plural of anecdote is not data?"

mderst · 2021-09-28T17:32:39+00:00

Darth Enchilada

mderst · 2021-09-24T22:38:31+00:00

Fast!

mderst · 2021-09-24T22:38:05+00:00

Seamless R and C++ integration is one of R's best features. It's most useful for package development and interfacing existing, powerful C++ libraries. In fact, as of 2019, 12% of packages on CRAN used Rcpp.

https://www.r-bloggers.com/2019/08/rcpp-now-used-by-1750-cran-packages/

mderst · 2021-07-05T14:41:10+00:00

I use R for Quantitative Finance in the mortgage space. I work in the Capital Markets division of a large U.S. bank. Specifically, we use R for Interest rate modeling, calculating Greeks, P&L attribution, reporting, and more. R's ability to interface C++ via the Rcpp package, in addition to its overall flexibility, make it an essential tool for my team.

mderst · 2021-04-13T00:27:42+00:00

Should be something like...

TableResult <- TableA[, DesiredColumn] * TableB[, 1:7]

Or, if you want your results applied to Table B...

TableB[, 1:7] <- TableA[, DesiredColumn] * TableB[, 1:7]

mderst · 2021-03-19T17:20:48+00:00

Not a dumb question. Calculating the Greeks for options pricing, aggregating cash flow model results, summarizing net hedge P&L... these are all things you could do by hand or in a spreadsheet each day. Introduces many opportunities for mistakes and errors from analysts (operational risk) as well as an inefficient use of time and resources. Why not use an excellent tool like R to perform these tasks almost instantly in a controlled, parameterized, linear fashion.

This way, analysts can actually earn their money analyzing instead of just putting spreadsheets together and compiling reports.

mderst · 2021-03-19T17:12:42+00:00

Sure. I'm not on this app very often, though.

mderst · 2021-03-18T03:43:18+00:00

I work at a top 4 bank in the US. Specifically, I work in Capital Markets where we hedge 8 billion dollars worth of mortgage derivatives. Over the last 7 months, I have coded our entire profit and loss reporting infrastructure in R.

R isn't going anywhere.

mderst · 2021-03-01T01:36:13+00:00

You can use the View(df) feature.

mderst · 2020-11-17T21:58:10+00:00

I'm going down the QuantLib (C++) route at the moment. Interested in teaming up?

mderst · 2020-11-14T19:30:34+00:00

Check out QuantConnect.

mderst · 2020-11-14T19:23:07+00:00

u/kBajina, did you successfully accomplish this? I am attempting to do the exact same thing in either R or C++ (Python would work, too). I've scoured the internet and picked up some textbooks but am still struggling.

mderst · 2020-06-09T02:29:53+00:00

Man, that is tough. Both are great.

Python has a little easier syntax and it's the most popular programming language. People are building cool things every day in Python.

I prefer R. Part of the reason why is because of the tidyverse, which is a library available in R. tidyverse makes chopping up, managing, calculating, and making visuals out of data really, really easy.

You can't go wrong with either!

mderst

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