plot twist to make it worse: you put in in an onInput hook without even a debounce

Also constant time is not always the fastest

AGPL RULEZ

it’s good for 3-2-1 backup rule though. but you can also ask a relative or a friend to let you plug a NAS to their router.

Yes definitely. However Rust manages to become extensible and capable of constructing powerful DSLs out of it’s macros without using S-expressions. But I still find them prettier than Rust’s syntax.

mobbing-free Fridays!

MLOps is a meaningful term!

tips fedora

I agree but still you can oftentimes expect that the average person’s initial reaction to be somehow reluctant… until they understand it. it’s like those foods and drinks that you might need to try a couple times before you start enjoying them.

can’t you do that on a self-hosted searxng? I know you can do that with YaCY, but YaCY search results kinda suck

don’t use Google, problem solved

umbilicalCord.cut()

redundancy, rolling updates or byzantine fault tolerance in a monolith > naïve assumptions that one part of your system going down won’t mess up it’s overall usability by and large just because you’ve used microservices

chore: ensure it’s God’s divine intellect

simple is often the opposite of easy

semi-related, Rich Hickey’s rant about HTTPServletRequest

markets access and hitherto investments play a huge role actually. Israel is the Silicon Valley of the Middle East. In Ukraine the worst scum of the earth, agricultural produce and energy speculators (and real estate/companies hiring swathes of cheap labor in countries with large refugee populations, like Poland) as well as the military industry are benefitting from dragging this conflict out as long as possible whilst not allowing Ukraine to lose completely as to not lose access to hers market on beneficial terms.

purely functional paradigm (immutable data structures and no shared state, which is great for e.g. concurrency) and advanced type system (for example you could have linear types that can be only used once). Lisps build on the premise that everything is data, leaving little room for bloated data structures or tight coupling with call chains that are hard to maintain or test. In Haskell on the other hand, everything is a computation, hence why writing it feels more like writing mathematical equations than computer programs somehow. It might, along Scala be good for data-driven applications.
Also the purely functional syntax means that on average, functional programming languages will arrive at the same solution in approx. 4 times less LOC than procedural/OO according to some research. Just look at solutions to competetive programming problems.
And even though I’m not a big fan of opinionated frameworks, compare some Phoenix codebase to a Symfony or even a Rails one to see how much cleaner the code is.

But if you’re new to FP you should rather pick Scheme, Elixir or Clojure since the paradigm itself can be a little bit hard enough to wrap your head around at first (though Elixir and is a bit imperative, depends on how deep are you ready to dive in), not to mention having to learn about ADTs and category theory.

deleted by creator

try https://www.composingprograms.com/