Why even use variables in the first place? Just place the values directly into your code. If you need to change a value, that’s just bad planning. Hell, why even use values either? Just run a loop on the INC instruction until you get the value you need. It’s just efficient programming.
I oscillate between using more functional paradigms and more object-oriented ones. is that normal?
I use a linter BTW(TypeScript) if that is a useful info.
I also do that. Very simple stuff, especially of those that are easy to optimize for the compiler, are often very close to functional programming paradigms.
I use a combination of both. Objects are declared const, all members are set in the constructor, all methods are const. It doesn’t really work for some types of programs (e.g. GUIs) but for stuff like number crunching it’s great.
I heavily use classes while working on back end, and when I’m making a really self-contained logic, such as a logger or an image manipulation service.
but since most frontend stuff heavily leans on functional side, I go with it
The app working isn’t good enough, it needs to be maintainable. From a professional perspective, unmaintainable code is useless code.
Code that mutates everywhere is generally harder to reason about and therefore harder to maintain, so just don’t do it (unless there’s literally no other practical way, but genuinely these are very rare cases)
Fair play, I guess we’re probably just gonna disagree.
In my experience I’d say mutable code (larger than anything other than toy examples) always results in more time spent fixing bugs down the line, predominantly because it’s objectively harder for humans to reason about multiple one to many relationships rather than multiple one to one relationships. I’d say because you need to think about all possible states of the set of mutable variables in your code in order to completely understand it (and I don’t just mean understanding the intended purpose of the code, I mean understanding everything that code is capable of doing), that usually results in a more convoluted implementation than the pretty linear way you typically read functional code.
Longer code is practically always better if it’s easier to understand than the shorter alternative. Software engineers aren’t employed to play code golf, they’re employed to write maintainable software. Though I’ll say ultra high performance applications might be the exception here—but 99% of engineers aren’t doing anything like that.
I’m always happy to be convinced otherwise, but I’ve never seen a convincing argument
Define your terms before relying on platitudes. Mutability isn’t cleaner if we want composition, particularly in the face of concurrency. Being idiomatic isn’t good or bad, but patterned; not all patterns are universally desirable. The only one which stands up to scrutiny is efficiency, which leads to the cult of performance-at-all-costs if one is not thoughtful.
I agree somewhat, but I’d also say any codebase needs some level of “dogmatic” standard (ideally enforced via tooling). Otherwise you still end up with bad, messy code (I’d even say messier, as you don’t even get consistency)
I’d agree with the first half, but not the second. Sometimes mutability allows for more concise code, although in most cases it’s better to not mutate at all
I think the general idea would be to take the original const, and create a new const with the new location applied. Destroy the original when it’s no longer needed or scoped. State maintained through parameters passed to the move function e.g. move(original const, new location) -> new const object instead of stateful members in the object like move(mutable, new location) -> updated mutable.
Random example, imagine a variable that holds the time of the last time the user moved the mouse. Or in a game holding the current selected target of the player. Or the players gold amount. Or its level. Or health. Or current position.
Keeping state managed. The data for the function will be very predictable. This is especially important when it comes to multithreading. You can’t have a race condition where two things update the same data when they never update it that way at all.
Rather than me coming up with an elaborate and contrived example, I suggest giving a language like Elixir a try. It tends to force you into thinking in terms of immutability. Bit of a learning curve if you’re not used to it, but it just takes practice.
I’d say this example doesn’t fully show off what immutable data can do–it tends to help as things scale up to much larger code–but here’s how I might do it in JS.
<span style="color:#323232;"><btn mobile big>
</span><span style="color:#323232;"><btn desktop small solid my-class>
</span><span style="color:#323232;"><btn medium>
</span>
Notice that JavaScript has a bit of the immutability idea built in here. The Array.flat() returns a new array with flattened elements. That means we can chain the call to Array.join( " " ). The classes array is never modified, and we could keep using it as it was. Unfortunately, JavaScript doesn’t always do that; push() and pop() modify the array in place.
This particular example would show off its power a little more if there wasn’t that initial btn class always there. Then you would end up with a leading space in your example, but handling it as an array this way avoids the problem.
Very interesting. Actually the part you mention about there being an initial ‘btn’ class is a good point. Using arrays and joining would be nice for that. I wish more people would chime in. Because between our two examples, I think mine is more readable. But yours would probably scale better. I also wonder about the performance implications of creating arrays. But that might be negligible.
In functional programming, everything is seen as a mathematical function, which means for a given input there is a given output and there can be no side effects. Changing a variable’s value is considered a side effect and is thus not possible in pure functional programming. To work around this, you typically see a lot of recursive and higher order functions.
Declaring all values as const values is something you would do if you’re a diehard functional programmer, as you won’t mutate any values anyway.
Depends on how deep down the rabbit hole you want to go :p
creating a new variable that contains the updated value
recursion (e.g. it’s not possible to make a loop that increments i by 1, but it is possible to turn that loop into a function which calls itself with i+1 as argument)
avoiding typical types of operations that would update variable values. For example instead of a for loop that updates every element of a list, a functional programmer will use the map function, which takes a list and a function to apply to each element of that list to create an updated list. There’s several more of these very typical functions that are very powerful once you get used to using them.
monads (I’m not even gonna try to explain them as I hardly grasp them myself)
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