Earlier quoted context omitted.
Interesting perspective. Are you expressing an opinion about "explicit is better than implicit", or is your point on a different axis? I suppose concise / implicit is fine when the thing that's being hidden can't go wrong, like in: [i * 2 for i in 1...10] The loop counter increment logic can't possibly go wrong, so it's fine to not think about it. Regarding error-handling, don't you want to think about? If you're cal…
My preferences are that error handling is expressed in and enforced by the type system (Haskell's Maybe/Either, Rust's Result), that common error handling tasks be supported by the standard library and by specialized syntax when necessary (Haskell's many Monad/Applicative tools, Rust's "?" operator), and that if a developer neglects or chooses not to handle an error that the most likely outcome is that it bubbles up…
Great comment. I would add how unusual _and critical_.
One of the things I love about Python is that while I know errors can occur on practically every statement written, I only have to add error handling for likely / expected / critical errors. Any unlikely errors that occur, even in production, will show a detailed stack trace (lots of context), making them easy to fix.
In my experience, things work as expected 98% of the time. For some software, like a pacemaker, checking the execution of every single line of code and even having redundant error checking is not overkill. For other software, like the backup software I work on, having one customer out of 1000 get a weird error is something I'd rather deal with as a support ticket rather than having to anticipate it while writing code.
Of course error handling is important, but requiring 3 lines of error handling for every 1 line of actual code has kept me from investigating Go to replace Python for HashBackup. I'd love to get the performance increase, but not for a 4x expansion of LOC.