https://changelog.com/podcast/201
> JEROD SANTO
> ...Postgres, which you say you use as kind of a reference implementation of at least the SQL stuff.
> RICHARD HIPP
> Yes.
260 karma · joined January 12, 2021
https://changelog.com/podcast/201
> JEROD SANTO
> ...Postgres, which you say you use as kind of a reference implementation of at least the SQL stuff.
> RICHARD HIPP
> Yes.
Don't forget fleets rip
From my conversations with doit sounds like they offer a similar service in that doit acts as an AWS reseller (~~some billing magic) and they apply commitment discounts etc. and pass along a portion of the savings. doit also claim to throw in free cloud architecture and support consulting services as a value add.
there's nothing novel in this video, really nothing to do with clean code. This is same sort of thing you see with pure python versus numpy
Unless that code were already public of course
I had an idea to build something very similar a couple of years ago, but didn't have the skills/time for it.
What I built ended up being quite visually simple (, pragmatic,), but it's cool in that you can control some of the parameters of the differential equation solver to trade off between speed and accuracy. Mine also shows you where the bodies will go in the future, rather than just a trail of where they have been. And you can click and drag to add a planet with initial velocity and see how the entire system will react immediately and interactively.
I also implemented collision with conservation of momentum (the displayed body radius is much larger than the simulated radius).
OK:
$$\|\vec{x} - \vec{p}_c\| = v(t_c-t_0)$$
--
NOT OK:
$$
\|\vec{x} - \vec{p}_c\|
= v(t_c-t_0)
$$
This makes larger latex expressions pretty impractical e.g. https://github.com/jurasofish/multilateration/blob/master/re...
Community sentiment seems to be beginning to shift toward favouring the HiGHS solver (https://github.com/ERGO-Code/HiGHS) over CBC. Something I'm keeping a close eye on.
nextmv seems to pitch itself as a generic solving ("decision automation") platform or something (unclear). But it seems that the only fleshed out product offering is for vehicle routing, based on the docs. Are there plans to offer, for instance, a solver binary that can be used to solve generic problems?
Also all the github repos under https://github.com/nextmv-io are private, so links from docs are 404.
> Some people just like the infra work
I think AWS improves infra work. Using CDK is a joy - primarily because it's clean, simple, and reproducible once you have stuff up and running. But the process of getting stuff up and running is its own kind of drug, it's a serious puzzle (unless you really really know what you're doing) which I find really rewarding to solve. I'm a pig in mud with CDK.
Compare that with traditional infra work and I immediately start to worry about how to make sure that everything is provisioned correctly, that other people on the team aren't messing things up, how I'm going to implement zero-trust type auth without something akin to IAM, how I'm going to implement monitoring without the monitoring system becoming its own beast....
https://pydantic-docs.helpmanual.io/usage/models/#creating-m...
In the case of GeoJSON it might be worth using a custom data type with specific faster validation.
https://pydantic-docs.helpmanual.io/usage/types/#custom-data...
I wonder how they incorporated that into their productivity metrics
As an aside, I have used a workflow where I give someone a a paper to review as an overleaf project, they make all their changes, and then I merge it back into my work picking and choosing the bits I want. And this all works fairly nicely since overleaf has support for git.
Why is that?
Is this meant to be "mixed integer program"?
Nice read. I find this especially interesting as I'm familiar with everything you've talked about here except only in Australia (AEMO). What you've written is like a parallel universe to what I know - very similar, but distinctly different.
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