I can't find the motivation to do anything at the moment. But if reddit or facebook get opened up i'll just scroll. It's almost like i've replace doing things with watching other people do things and that somehow makes me less likely to work on my hobbies because i'm not as good or far along.

AI has added to this, almost like, why bother bettering myself when I could probably shit out my idea in a handful of prompts? I need a dopamine fast or something. Might try staring at a wall

Ultimately i want to be able to send signals to components like sensors and be able to retrieve the results via code. Think like temperature and humidity sensors, or light sensors, that sort of thing.

For background i'm a software developer with a PhD in chemistry, so i'm fairly confident (if rusty) with calculus and mathematics.

Were there any books you read that were particularly good? Any i should avoid?

Comments URL: https://news.ycombinator.com/item?id=46988532

Points: 1

# Comments: 0

Will take a look when i get to my laptop!

The specialty dark roast will have notes of cookies, chocolate, nuts. Lots of brown roasty flavour.

Starbucks tastes bitter. With very little nuance. (Unless you cold brew it, then you can leave most of the bitter behind)

Thanks for sharing!

[0]https://www.boringcompany.com/not-a-flamethrower

[0] https://d2lang.com/

hell i do this if our tester hasn't managed to go over some aspect of our release. That way i get in writing from the product owner that he has OKd it, and if he sends me a teams message i ask him to email me confirmation.

Sure. Writing C++ that utilises your resources effectively then writing bindings so you can use that in python is great. But with elixir, if I've got 8 cores and 8 processes, those 8 processes run in parallel.

If I want raw cpu speed I can write something in rust, c, cpp or zig and then call it still using elixir semantics.

Not to mention that with Nx you can write elixir code that compiles to run on the GPU. Without writing any bindings.

But python doesn't vertically scale very well. A language like Elixir can grow to fit the size of the box it is on, making use of all the cores, and then without too much additional ceremony scale horizontally aswell with distributed elixir/erlang.

Elixir getting a good story around webdev (phoenix and liveview) and more recently the a good story around ML is going to increase it's adoption, but it's not going to happen overnight. But maybe tomorrows CTOs will take the leap.

It's over training syndrome, caused by too much training without enough rest. The athletes that try to push through struggle to perform as well.

yield from

Instead of

return

If you are going to iterate through some of the resulting thing but not all of it then the generator means you aren't throwing away a bunch of the work that you've done.

It can also be more cache friendly. It doesn't need to allocate a whole new lists worth of memory.

One of the downsides of it being lazy is that if list x is mutated between when you create the generator and when you consume it then those changes are reflected in the generator.

I've done some micro benchmarks and it really depends on what you are doing. Profiling it with cProfile, Pyspy or using %timeit in an Ipython shell will tell you if it makes a difference.