Some will say that you should keep a blog to demonstrate expertise, or to get practice in writing, or to engage with others in your area. I think there’s another reason that doesn’t get mentioned much: blogging is an unfakeable signal of commitment.
I didn’t add last week’s Classic to this blog, but I did produce a pretty graph in Jupyter from which you can read the right answer (in either graph, the point on the x-axis where the orange four-post line first exceeds the blue three-post line.)
This week’s Express is not difficult, but I did find the answer a little surprising.
I’m doing this, with my girlfriend. I have bought a place in the UK before, but other people handled all of the paperwork in that case. So my initial expectations were for something like the UK system, but the reality was a little different. We haven’t finished yet, but this post is an outline of the important differences I saw.
Got the Classic from two weeks ago correct, although I hadn’t got the closed-form solution; I needed to spend more time playing with toy examples, but I’m not sure I would have discerned the pattern anyway. It’s neat though.
This week’s Express is not too difficult (please don’t let me get it wrong!). The thing that surprised me on thinking about it is that the total number of combinations of shires is only 1024. That’s 210, since there are 10 shires, each of which can be in or out of any particular subset.
Half of the possibles combinations of shires don’t have enough votes to win, and of those combinations that do, many of them could lose a shire and still win, so they can be ignored as well.
My 33 lines of code will print out an answer in about a millisecond. I assume in Haskell it could be done in about four lines! I should take a look at that language sometime.
Simple question for this one:
In Riddler City, the city streets follow a grid layout, running north-south and east-west. You’re driving north when you decide to play a little game. Every time you reach an intersection, you randomly turn left or right, each with a 50 percent chance.
After driving through 10 intersections, what is the probability that you are still driving north?
I take an interest in what the UK’s Office for National Statistics puts out, especially around employment and the economy. I’m also learning Jupyter and the Python DS tools, so I’ve taken one of their data series and tidied it up to use in Pandas.