Javascript one worker doing tasks one at a time (single-threaded) when waiting (network, timer), the worker moves to the next task instead of standing still (async, setTimeout, Promise; non-blocking with the event loop puppeteer) computer cleans up stuff automatically (garbage collection) very flexible, checks mistakes when running (dynamic typing, runtime checks) think “waiter juggling multiple tables” (concurrency model)
Python one worker, mostly waits for each task to finish (single-threaded with GIL, mostly synchronous) computer cleans up stuff automatically (garbage collection) easy to read, slower than others (interpreted) very flexible, checks mistakes when running (dynamic typing) think “friendly helper, takes its time”
Rust multiple workers can work safely at the same time (multi-threaded, memory safe) you decide when to throw stuff away (compiler helps) (manual memory management with with ownership/borrow checkers) very fast, checks mistakes before running (compiled, static analysis) strict rules, but prevents bugs (strong type system, borrow checker) think “strict teacher who prevents you from making messes”
Solidity does one thing completely, no interruptions (atomic transactions, single-threaded) every operation costs money (gas) can’t trust anyone, everyone might cheat (adversarial environment) think “bank vault- slow, expensive, paranoid”
SAS one worker processes data step-by-step (procedural, mostly single-threaded) built for analyzing and reporting structured data (statistical + tabular focus) syntax is strict and old-school (less flexible, more verbose) checks everything before running (compiled data steps, strong validation) great for regulated industries (audit trails, reproducibility) think “old accountant- slow, careful, precise, and always balanced” 