this post was submitted on 24 Jul 2023
79 points (92.5% liked)
Programming
17432 readers
233 users here now
Welcome to the main community in programming.dev! Feel free to post anything relating to programming here!
Cross posting is strongly encouraged in the instance. If you feel your post or another person's post makes sense in another community cross post into it.
Hope you enjoy the instance!
Rules
Rules
- Follow the programming.dev instance rules
- Keep content related to programming in some way
- If you're posting long videos try to add in some form of tldr for those who don't want to watch videos
Wormhole
Follow the wormhole through a path of communities !webdev@programming.dev
founded 1 year ago
MODERATORS
you are viewing a single comment's thread
view the rest of the comments
view the rest of the comments
I remember my time doing Ruby was really informative about testing and languages in general.
The Ruby community was really great at doing automated testing and it's actually where I really cut my teeth on testing, but if you go back and look at the tests you'll find heaps of them are testing and checking types for functions. It almost felt like people were building static typing using automated tests.
Some people bang on about static typing getting in the way of agility, but the reality is that you either end up spending the time creating extra tests, or you end up cutting corners and creating unreliable software which you'll spend a lot of time troubleshooting down the road. You end up paying a big price to save a marginal amount of time at the start of a project.
Also being able to prove the relationship between different parts of the code enables a lot of productivity tooling like IDEs. Simple things like renaming a class or a struct become chores at best in a statically typed language, whereas in dynamic languages there is an element of risk in refactorings like that.
Some inexperienced programmers hear "static typing" and think "Java".
With live/inline static typing checkers in editors (with, eg, VSCode's LSP system), there's IMO an obvious boost to "agility" in preventing minor unforced errors/bugs basically before they're even written. Passing the right arguments to the function? Correctly processed an object or data structure? Function matches the required API? Live type checker will often answer those questions straight away without having to look up or check anything.
I really like the mix we have at work with Python. We type all methods, but no typing in the body unless the code is unclear. We treat it more like if it were a statically typed language with type inference. This gives the IDE loads of info to work with for refactoring and warnings. The reality of dynamic typing is more like an implementation detail.
Check out Crystal, it's like static typed Ruby.
Is there a static typed equivalent of Python? Not MyPy, but a static Pythonic language.
Nim?
Huh, I've never heard of anything like that.