664 karma · joined August 5, 2022
> Those tolls will be discounted by 75 percent at night,
which is when most truck deliveries are made
I would bet the value in time saved to a freight delivery business to be stuck in less traffic (composed primarily of passenger cars!) is well worth more than the toll paid
yes, these rates might rise. but it's the wealthy who are consuming these services. costs will obviously pass through to the rider (not be borne by driver)
they use the train or bus, which is cheaper, faster, and more environmentally friendly
if you are wealthy enough to afford a car in NYC then you are wealthy enough to pay this toll
I know this wasn't the point of your post, but just noting that adding types to function arguments "usually" shouldn't impact performance at all :) when it does, that might mean there is some type-instability being papered over (i.e. there is a better fix lurking around the corner)
this is just a normal sanity check and is not a strike against Julia (or R)
as locations get more desirable, demand goes up.
see: colonial oil pipeline hack
neither is the return from putting $1 across all of SPY
it is also gambling, but it's certainly very achievable to be a profitable poker player with a bit of study & practice
Personally, my main usability gripe is that it's difficult to do row-wise transformations that try to combine multiple columns by name. I know one can do ``` transform(df, AsTable() => foo ∘ Tables.NamedTupleIterator) ```
But this is 1) kind of wordy and 2) can come with enormous compile times (making it unusable) for wide tables
Yes, I agree, on average polars is a bit faster for many of the simple workflows, but I certainly don't think that's unconditionally true. It's especially less true when you might want to do something out of the ordinary with your series --- in Julia it's trivial to just extract that as a vector and loop over it (fast!). In polars, one would have to make sure their function can be appropriately vectorized.
I know there are some existing packages that nominally do some of these things, but generally they are understaffed and not fully mature. I love Julia as a language, so I hope this will improve over time. I think it's one of those problems that just requires more adoption before it can be fixed, and things like precompile TTFX improvements in 1.9 are a good way to get that!
Data engineering and cloud integration is a big one. It has very few tools in that domain, and I say this as a heavy Julia user (hobby).
drivers will accept the ride, and then just never show up. I watched them on the map---I think they are driving Uber routes for other customers while simultaneously "accepting" my ride