Ah! I can definitely relate to that ;-) Still can hear the rescue sound of people entering the chopper !!!

bleep.

The cost of production and the price level required to balance the government's budget are two different things.

Correct, to further explain the difference. The budget is drawn with a certain assumption of the price of oil, which nets them an expected profit per barrel with which they can balance income and expenses. If the price of oil is lower than that they may still make a profit per barrel but the budget is not balanced anymore and they will run deficits.

This is why higher oil prices seem to correlate with military adventures.

+1, would love to circumvent this !

Very enjoyable, thanks for sharing

There's a VR game called Panoptic based on the concept, it is worth checking out. The final version is to be released in a few weeks.

http://panopticgame.com/

(disclaimer: I know one of the person developing it)

Yup same here

I recommand David Beazley's talk from a recent PyCon India on a similar subject : https://youtu.be/r-A78RgMhZU

Mostly live coded, it really is pretty amazing but also quite insightful.

> In this talk, I live-code a simple stack machine and turn it into an interpreter capable of running Web Assembly. I then use that to play a game written in Rust.

Wow. This is mind blowing. Thanks for the pointer.

He has a lambda calculus talk in python[0] that is just as good. Just a great educator.

[0] https://www.youtube.com/watch?v=pkCLMl0e_0k

U of Chicago, I believe, denied him tenure, when he was an assistant prof there.

How good of an educator you are may not even be in the top 5 most important things to get tenure, unfortunately.

I googled "Ohio House Speaker Larry Householder", this is the first video that came up : https://www.youtube.com/watch?v=urKKzGybKb0

What information am I supposed to be taking in from this, other than that he loves guns and hates TV news? What bearing does this have on TFA?

dask.dataframe might not help but dask.distributed could in that case.

I've had success using it on non vanilla stuff (i.e. code that could not get converted to play natively with numpy/pandas structures)

As a bonus, the nice profiling tools (built within dask) have also helped me improve the performance of the code.

See https://distributed.readthedocs.io/en/latest/

Same here! ;-)