qwhelan
> § 11-1512. Bicycles on sidewalks. (a) A person propelling a bicycle upon and along a sidewalk, or across a roadway upon and along a crosswalk, shall yield the right of way to any pedestrian and shall give audible signal before overtaking and passing such pedestrian.
https://codes.findlaw.com/il/chapter-625-vehicles/il-st-sect...
No idea if the lakefront trail is classified as a sidewalk but there are at least some cases in Illinois where either a bell or a "on your left" are legally mandatory.
The case I'm thinking of is the eastern end of SR-520 over Lake Washington in the Seattle area. It has hundreds/low thousands of bicycle crossings/day (so surely dozens of Garmin users/day), the background is a dammed freshwater lake with a well known elevation, and clear view of the sky. Yet the elevation data is garbage somehow.
It doesn't really matter for planning purposes as any alternative has such a huge delta but it does signal that user data isn't being utilized to refine their data set even on high volume segments.
Unlikely? Sure. But a lawyer somewhere thought it was worth reminding me 10x/day, so going to assume it's possible provided your unauthorized software caused a serious monetary loss.
However, the explicit default was that you should not look at solutions from prior years. Professors would announce at the beginning of the course that they reuse questions and looking at prior years solutions was an honor code violation. I think it's pretty clear it's cheating when the expectations are clearly outlined.
If you had inadvertently come across the problem before and independently solved it, you were expected to disclose that as part of your answer. I personally had to do this several times, and never suffered any negative consequences for it, but the expectation for honesty was there.
"I would like to apologize to the students who took this course last year. I always aim for a mean exam score of 50 and a standard deviation of 10. Last year's mean was 29 and I will attempt to not repeat the mistake"
Some courses at Caltech had almost identical exams for at least a decade when I went through. The professors knew cheating like the above simply would not be tolerated by undergrads.
I sat on and helped run the Board of Control, which handled academic honor code violations, for several years and professors who had been at other universities would absolutely rave about how much more they could trust Caltech students. And that was while reporting a suspected cheating case to me.
I forget if Scheme was moved to a later course or made optional.
Hard to say how much of the trend is just what happened everywhere, but CS1 being in Python rather than Scheme probably helped a bit.
It was released in 0.24.0: https://pandas.pydata.org/pandas-docs/stable/user_guide/inte...
For example:
pd.DataFrame({"foo": [1,2,3,4,None]}, dtype=pd.Int64Dtype())
foo
0 1
1 2
2 3
3 4
4 <NA>
pd.DataFrame({"foo": [1,2,3,4,None,9223372036854775807,9223372036854775806]}, dtype=pd.Int64Dtype())
foo
0 1
1 2
2 3
3 4
4 <NA>
5 9223372036854775807
6 9223372036854775806Simply a matter of default type of join - join defaults to left while merge defaults to inner. They use the exact same internal join logic.
>What if they're optional? pd.DataFrame({'foo': [1,2,3,None]}) will silently change your integers to floating point values.
This was a long standing issue but is no longer true.
>Want to check if a dataframe is empty? Unlike lists or dicts, trying to turn a dataframe into a truth value will throw ValueError.
Those are 1D types where that's simple to reason about. It's not as straightforward in higher dimensions (what's the truth value of a (0, N) array?), which is why .empty exists
Yeah, but only the long tenured/high performing employees get access to the good fund (there's a merely average fund that most employee deferred comp goes into, if I understand correctly).
Former colleague of mine was a M&A trader at Lehman during the crash. 95% of his net worth was in his fund, which was up 50%+ for the year when the bankruptcy trustee seized everything. IIRC, he was starting to get his money back in ~2014-15.
RSU comp can be quite competitive when you take those factors into account.
In particular, I suspect the benchmark sizing is forcing falling back from numpy's int64 to Python ints as categorical labels, which easily could explain a 10x or more differential.
While similar, SIPC is not "on-par" with FDIC.
With FDIC, the bank is taken over Friday afternoon and your cash is available Monday morning.
With SIPC, it could very easily be five years before you have access to your assets again.
The difference in the value of the insurance also means the regulatory scrutiny behind SIPC is far lower.
Because adding comparable capacity to SFO and LAX would be $100B+
Also, who cares about actually going to an airport? It's only a means to getting where you need to go, which is probably downtown SF or LA