It was gusting at 33kts.

33kt/hr * 1.15mi/kt * 1.609km/mi ~= 61km/hr.

The weather app was right. Just different units.

Whoops of course! My mistake

There was an interesting problem about qanats and excavation cost minimization in the 2015 ICPC World Finals problem set.

(Problem H) https://icpc.baylor.edu/worldfinals/problems/icpc2015.pdf

You can probably get away with undergraduate degree graduation year as a rough proxy for age.

age(grad_year) ~= (2016 - grad_year) + 22

  <!-- open graph bullshit -->

Line 22: view-source:http://themes.getbootstrap.com/products/application

Kudos to whomever wrote it. The customized meta tags crap for each service has gone too far.

You generally don't know if you've reached a suitable maxima, which is why it is good to run a nondeterministic optimizer a few times (if computation power allows) and see if there are any reliable parameters form there.

There are also somewhat better-than-random strategies such as Bayesian optimization and particle swarm optimization that can help you to search more efficiently.

Is there any way to set tcpKeepAlive=true, ssl=true, and specify a sslrootcert (for Redshift use)?

Redshift is not officially supported since I'm targeting Postgres 9.x.

But there is some work underway to add support for Redshift.

https://github.com/dbcli/pgcli/issues/18

Cool! I think this project is really awesome and your blog is full of interesting things. Keep up the great work!

CART forms the basis of the decision trees used by scikit-learn's implementation of random forests [1]. CART may be old, but definitely not outdated.

[1] https://github.com/scikit-learn/scikit-learn/blob/master/skl...

I would argue that an increase in ride-sharing usage reduces traffic congestion.

I hope you're right. It definitely helps with parking.

I need more evidence to have an opinion on whether Lyft and Uber are good for the environment. It's really hard to tell because there are people choosing them over public transit, and people choosing it over car ownership.

I did some basic color analysis here.

http://shahidchohan.com/resolving-the-dress-color-debate/

Ceci n'est pas une robe. You did the color analysis of the picture of the dress, not the dress itself ;-)

You're right. But it's already known that the actual dress is "blue and black" as someone found it on amazon. It's essentially the picture that is creating the ambiguity.

I skimmed the source and didn't see anything regarding leader election. Am I missing something or is this implementation encapsulating some of the underlying terminology/analogies traditionally used by Raft?

Wouldn't that be done by the underlying Raft implementation (goraft)?

Yes, that's right. 'go-raft' is imported by rqlite, and uses that package for consensus and leader election.