domestication_never

domestication_never t1_j6g5vur wrote

Rainer. The road to the visitor center is kept open year round. It's not on Helens, you'd have to check.

You can drive between the two in a few hours from the dirt backroads that access spirit lake if you know what you are doing. Its a trip. They won't be open probably.

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domestication_never t1_j6faq5a wrote

If Belarus enters the war, I could see it being made an example of from NATO. US will let Ukraine know all the unhardened targets from satellite and let them hit whatever it wants with the HIMARS and drones. The country is already on the verge of revolution, if they see symbols of power hit repeatedly and rapidly from Ukraine it's game over. Ukraine for sure has a longer reach than Belarus in the war.

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domestication_never t1_j5wv3r1 wrote

It's hard to get both sides happy. The commerical side wants lots of cars and traffic for customers. The residents want peace and quiet. Then there is a very limited range of acceptable businesses. You'd have difficulty putting a dog daycare in due to noise. It's gotta be small, low traffic and quiet. There are only so many vets, daycare, clinics, coffee shops and corner stores an area can sensibly have. Then they charge too much and the commerical space stays empty for a year and looks terrible.

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domestication_never t1_j3e5rnl wrote

State republicans haven't helped. It's well established that the responsibility for water is the city though. It's on them. They've have shrinking tax take for years due to shrinking population. Jackson is not in a healthy way as a city. Hospitals are closing too. The economic activity just isn't enough to sustain the infrastructure they need as a city. Tax needs to be higher, but the residents can't afford that.

The federal government is putting in 600 million to try and fix it. The city fundamentally isn't looking financially viable in the long term though - if there isn't the tax based to sustain the water supply, you can be sure other issues will follow.

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domestication_never t1_j1km6nq wrote

Well those guys gonna go out of business becuase heat pumps are selling like crazy in the PNW.

I replaced a 1970s ThermoPride oil furnace I called "ol' smokey" for its habit of occasionally fucking up and spewing smoke right when you needed it most. Oil cost me 600 a year back then, it'd cost 1500 a year now. The heat pump was 10k and costs about 400 a year in electricty. Plus it's a aircon. Costco deal, with 10pct cash back. Have had zero problems getting it serviced. There is fuck-all to service on it.

The only issue is that it's loud. Not as loud as ol' smokey, but very loud for a 2019 appliance.

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domestication_never t1_j1kl3xk wrote

Plenty of brick houses here have heat pumps. This 1950s house is matchsticks and cardboard. It's got the insulative properties of wet shorts in a stiff winter breeze straight to the testies.

It has "aux heat" a very powerful resitive heater it'll use from time to time. Usually for about 10-20 mins a day. That costs significant money. The rest of the time it cost as much as an aircon to run. Which, coincidentally it also is for summer time.

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domestication_never t1_j10dp68 wrote

Python isn't slow at all, provided you hold it right. Pandas/Numpy are pure C libraries under the covers, provided you are dealing with it not row-at-a-time. PyTorch etc drop down pretty much immediately into C (and the GPU specific libs). Python is just kinda binding it togther.

One of the reasons Python gained so much traction so quickly was easy integration with C. Using FFI, I can open and call C functions from a share library in about 5 lines of code. Plus python has very readable and straight forward C code itself, it's not that hard to make "pure C" extensions to python.

And now optional typing in Python allows for great JIT compilation, so even the pure python parts are getting quicker.

Most importantly: Python is blazing fast where it needs to be, developer speed. Scientists and engineers are the expesnive part.

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domestication_never t1_j107cnt wrote

I made a dumb-ass recommendation system using a graph database. The graph had links between all the "likes", "relationships" and anything else I could glean about the demographics of the user. Nodes were the items of interest and the users. The recommendations where just a walk around the user object, and ranking by how many times it hit on an "interest" node.

I thought at the time: If I could ML better, here is where it'd go. ML over the graph to draw inferences. But, alas, I was much too stupid to try it.

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domestication_never t1_iyy7qc8 wrote

I am a manager that works both with scientists and engineers.Every new scientist gets sent to "coding bootcamp" and doesn't come back till they learn unit testing a a minimum.

Every engineer gets sent to machine learning bootcamp and doesn't come back till they can explain WAPE, MAPE, overfitting etc.

I do this as much for quality software as to stop the damn fights. At least they have an appreciation for the finer points of the others profession.

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