yold__

8 ms·

31.
by yold__ 6y ago
Seconding that. Although Firebug was wonderful, cross-platform development was not (IE and FireFox). Example of "quirks mode" nonesense: 1. The "hidden" element at the root of the IE DOM tree, only accessible with &quo
32.
by yold__ 6y ago
Dog bites man, partisan U.S. media stokes the latest controversy.
33.
by yold__ 6y ago
I think that you are being overbroad. I don't agree with the conclusions of the article, but the core question is why so many people have bought into election conspiracy theories, or the even more bizarre universe of QAnon. Curious t
34.
by yold__ 6y ago
What motivates all contrarians? Anti-vaxxers, flat earthers, Trumpers, Haskell programmers (kidding). There was a very insightful article on HN a year or so ago, which explored "The Dangers of Being Right". Many people see perso
35.
by yold__ 6y ago
Watch this and tell me if you'd like your company associated with that conduct. https://www.wsj.com/video/video-moment-pro-trump-rioters-cla... The people charged with felonious conduct during the summer riots may
36.
by yold__ 6y ago
Appreciate the curiosity. In this small trivial case, yes that works. But what happens when something in the logic changes? You wind up needing to know the order of calculations since things are no longer lazily evaluated via recursion. T
37.
by yold__ 6y ago
First of all, let me say that I've tried it :) Your recursion needs to "bottom-out" in order for that to work. If you don't get a stack overflow / out of memory error, you're good. But bear in mind that there
38.
by yold__ 6y ago
Think about the calculation of an insurance product with a Fund Value. Everything is forward recursive with respect to time. Been a while, so I might butcher some of this. It is likely that you'll want a 30 year projection, so you&#x
39.
by yold__ 6y ago
One reason why Python is so successful is that it places very nicely with C code. Many of Python's libraries are thin wrappers around native DLLs. For example, numpy is a wrapper around a BLAS DLL (e.g. Intel MKL). Pipenv manages the
40.
by yold__ 6y ago
numpy is great for vectorizable calculations, but many calcs (particularly for long-term life contingent risks, i.e. reserves), are not vectorizable except in the most simplistic cases.
41.
by yold__ 6y ago
Up-front costs (mostly salaries, but all I.T. projects are "billable") 1.) Getting buy-in from solutions architect, software architecture, information security, I.T. management. This will be a 6 month process. 2.) Getting buy-in f
42.
by yold__ 6y ago
I think you are mocking me, but I'll bite. Insurance companies are contractor heavy. They bill at $150 an hour. That's $300K annually per head. Won't take long to get a million, when you add PM overhead, information securi
43.
by yold__ 6y ago
"As to the memoization, that is not hard to manage in Python." Yes it is. Recursive calls for financial calculations easily go hundreds of thousands of calls deep. This is why high-end actuarial modeling software either decompos
44.
by yold__ 6y ago
The problem isn't feasibility, it's resources. Building and rolling out a standardized environment, and maintaining it, will cost millions of dollars. It shouldn't, but it does. And for what added benefit? The end-users d
45.
by yold__ 6y ago
It's been a couple years since I've used it, and I didn't feel it was a comparable alternative. It's decent for about 80% of spreadsheet users, but the keyboard shortcuts were lacking and it was missing some functions t
46.
by yold__ 6y ago
I'm a research actuary working in reinsurance. Here is why I think Python creates more problems than it solves from the standpoint of most insurance business users: 1.) Environment management. There are many solutions for managing py
47.
by yold__ 6y ago
I think you misinterpreted what was said. A company taking an underwriting loss like that would be shut down by regulators in a heartbeat. There are very large regulatory capital requirements in life insurance, which is why you don't
48.
by yold__ 6y ago
I'm an actuary and data scientist at a major life insurance company. It depends a lot on the product and business line. For employer-sponsored coverage, zipcode, age, sex, industry, salary, and collar (white/blue) are the major
49.
by yold__ 6y ago
I'm a former life insurance and annuity pricing actuary (credentialed). When you say actuarial loss, I think you mean the mortality margin (aka underwriting profit) is zero. No insurance company wants a product priced (or experiencin
50.
by yold__ 7y ago
Yes, the vega architecture is supported by rocm (basically AMD's cuda). You're best bet would be to use the pre-built docker images though.
51.
by yold__ 7y ago
> GE sold off GE Capital over a decade now. No, they spun off some of their LTC and Life Insurance business into Genworth, which, incidentally is suffering from some pretty severe LTC woes themselves. LTC is literally the textbook case s
52.
by yold__ 8y ago
I guess it's interesting to see an alternative to Black Scholes. Fourier transform (FFT) is a common topic in advanced algos.
53.
by yold__ 8y ago
I price life insurance for a living. Combat death riders are not common.