Or just use free props if you are a hobbist.
HN user
pid-1
Retail investors do not have access to systems that calculate risk, margins, pnl, etc... and generally also don't have the necessary knowledge and market data to price such instruments correctly.
Most ppl are better off KISSing and lowering risk by selling equity for fixed income.
Absolutely 100% agree.
At the same time, one can make financial decisions based on risk rather than longterm expected returns.
For instance, I'm happy with fixed income yields rn.
What would scare me is losing a big chunk of my portfolio in a downturn, exactly when I'm also most likely to lose my job.
Hold short term debt (e.g money market funds or SOFR ETFs). Then you will have cash in hand if either stocks fall or yelds raise.
Never buy derivatives as a non institutional investor.
Radio modulation / coding (at least for 802.11) benefits greatly from paralelism (lots of matrix multiplication etc).
I imagine that using an ASIC is way more cost efficient vs using a CPU.
I've been using ChatGTP by voice for things like cooking and house repair stuff. It's quite convenient for situations in which your hands are busy.
Other week I fixed a a water valve. After planning the thing with ChatGTP I brought the new valve. Then I described what I was seeing as I swapped the old valve for the new one to make sure everything was right. Really cool experience!
No.
The maximum granularity is also 'per repo'.
1 If you never rebalance, you're never adding new stocks to the index, nor removing stocks that do not belong to it anymore.
2 You need to rebalance to take corporate events into account: new stocks, buybacks, dividends, etc...
Many security/privacy nerds don't own end consumer gadgets etc...
Some folks go vegan after seeing how the sausage gets made.
Pandas is cancer. Please stop teaching it to people.
Everything it does can be done reasonable well with list comprehensions and objects that support type annotations and runtime type checking (if needed).
Pandas code is untestable, unreadable, hard to refactor and impossible to reuse.
Trillions of dollars are wasted every year by people having to rewrite pandas code.
what's the consequences for HN of a user having their password compromised
HN does not enforce anonymity, so the identity of some users (many startup owners btw) is tied to their real identities.
A compromised password could allow a bad actor to impersonate those users. That could be used to scam others or to kickstart some social engineering that could be used to compromise other systems.
I think the biggest issue is M365 Copilot was sold as something that would integrate with business data (teams, files, mail, etc.) and that never worked out quite well.
So you end up with a worse ChatGPT that also doesn't have work context.
and people were buying it! real corporations and governments were buying this crap - it's insane
Anedote: in Wall Street, Global Relay and TeleMessage are the major players when it comes to achieving communication for compliance.
Like most things serverless Athena is cheap as long as you don't use it.
My company has 100s of data pipelines that are executed infrequently.
For this use case Athena is ridiculously cheap and easy to use vs most other solutions.
If you're already in AWS, why wouldn't you use AWS Glue Catalog + AWS SDK for pandas + Athena?
You can setup a data lake, save data and start doing queries in like 10 minutes with this setup.
Interesting, I had a similar experience as an exchange student in Britain.
That's surprising. I haven't met a single user who found Copilot useful in Excel.
I've found some that enjoyed using it a "smart auto complete" both in Word and Outlook, however.
Most of my users are financial analysts.
Sorry, I think we are talking about different stuff.
I was referring to Copilot for M365, which costs 30 USD / month and targets biz users.
Github Copilot is definitely worth it.
I've brought MS Copilot licenses for my company in ~ February 2023. They were sold in a yearly commitment and offered no trials. A bad deal, but I was afraid of missing out AI productivity gains.
I'm definitely not renewing those. Times are hard and the value provided does not justify the cost.
I wonder how many companies will do the same.
That particular issue also exists in GitLab. See https://gitlab.com/gitlab-org/gitlab-runner/-/issues/2797
That was not my personal experience. CS and Warcraft 3 community lobbies featured rampant cheating. Way more than CS:GO and Dota 2.
I have done the following in the past:
1. pip install libfoo==1.x.x
2. pip install libfoo==2.x.x --target ~/libs/libfoo_v2 # vendor libfoo v2
3.
import sys
import libfoo
original_sys_path = sys.path.copy()
sys.path.insert(0, '~/libs/libfoo_v2')
import libfoo as libfoo_v2
sys.path = original_sys_path
There are caveats of course. But works for simple cases.
RPG Maker brings me so many good memories... highly recommend!
Why would any enterprise use e2e encryption?
In most juridictions and industries you must be able to audit internal and b2b communication.
Then Twitter can migrate to AWS CloudFront.
Sorry, I could not grok the difference, even after reading a few Rust examples.
def foo(int | None = None) ...
... just means the variable's default value is None in a function definition. But it could be either in an actual function call.
Why can't medical doctors be automated?
Python has sum types
optional_int: int | None = None
IMO it's far worse than Ruby. Since Python is meant to be a glue language, scripts can have every type of esoteric dependency, including binaries, os libs, java programs, etc...
Just to be pendantic, a malicious user could write a script / program that implements tunneling but doesn't use the OS provided certificates.
But yeah that's definitely a best practice.