_rerr
Joined 9 years ago
Joined 9 years ago
[0] https://www.jasonhickel.org/blog/2019/3/17/two-hump-world
Indeed, let's not forget LibreOffice
I've also heard good things about Probabilistic Programming and Bayesian methods [1] by Cam Davidson Pilon.
[1] https://camdavidsonpilon.github.io/Probabilistic-Programming...
The military branch of the PYD party was crucial during the fight against ISIS. Leaving them to die in Erdogan's hands is tragic.
In my opinion, there are a few points that are dubious in this analysis:
- A country is not like a person. It doesn't make any sense to compare the situation of a state to that of an individual.
- Different countries are engaged in trade together. If one, say Germany, has commercial surplus, it is because others buy its production. Hence, all countries can't produce like Germany : who is going to buy everything?
- According to mainstream economic doctrine (Keynes), cutting government spendings does not lead to growth especially amidst a crisis, whereas you have an alternative that does create growth and does not condemn people to starvation. This is done instead by increasing the spendings in the right way.
- Various officials have falsified economic documents in order for Greece to enter the Eurozone (and was helped by Goldman Sachs [0], for example). Why should people suffer from acts of this nature ?
[0] https://www.independent.co.uk/news/world/europe/greek-debt-c...
I haven't used rope extensively, it's too bad that it doesn't work well. It's open source so I guess it needs more contributions.
Note that a new extension, that works alongside the original python extension, has been developed by Microsoft: Pylance. It speeds things up based on pyright, a python type-checker.
For refactoring you can use rope [0] as a VSCode extension.
Sadly, looking at the github repo it seems to be unmaintened, so I am glad to see Muze in that space.
[1] https://github.com/vega/voyager
There is also Cox's theorem, that essentially states that probability theory is the only sound system that extends logic in the presence of uncertainty, to continuous values (between 0 and 1) instead of the two values 0 and 1.
With the same definition, switching A and B roles, we have p(A, B) = p(B|A) p(A) (2)
Plug (2) into (1) and you have Bayes rule.
This gradient descent visualizer is made with it for example [1] to interpolate the points when the prediction line moves.
[0] https://svelte.dev/docs/svelte-motion
[1] https://gradfront.pages.dev/