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Cake day: August 2nd, 2023

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  • There’s a story in the Talmud about Hillel the elder, a rabbi who died in 10 CE:

    There was another incident involving one gentile who came before Shammai and said to Shammai: Convert me on condition that you teach me the entire Torah while I am standing on one foot. Shammai pushed him away with the builder’s cubit in his hand. This was a common measuring stick and Shammai was a builder by trade. The same gentile came before Hillel. He converted him and said to him: That which is hateful to you do not do to another; that is the entire Torah, and the rest is its interpretation. Go study.




  • And memory bugs are only a subset of bugs that can be exploited in a program. Pretending Rust means no more exploitation is stupid.

    This is facile.

    According to Microsoft, about 70% of security bugs they see are memory safety issues.

    Yes: if you introduce memory safety, there’s still those 30% of security bugs left. But, well, I’d rather worry about 30% of issues than 100%…

    Similarly, I use libraries that eliminate SQL injections unless you really go out of your way.







  • Symbols display with friendly string-y names in a number of languages. Clojure, for example, has a symbol type.

    And a number of languages display friendly strings for enumy things - Scala, Haskell, and Rust spring to mind.

    The problem with strings over enums with a nice debugging display is that the string type is too wide. Strings don’t tell you what values are valid, strings don’t catch typos at compile time, and they’re murder when refactoring.

    Clojure symbols are good at differentiation between symbolly things and strings, though they don’t catch typos.

    The other problem the article mentions is strings over a proper struct/adt/class hierarchy is that strings don’t really have any structure to them. Concatenating strings is brittle compared to building up an AST then rendering it at the end.

    Edit: autocorrect messed a few things up I didn’t catch.


  • Javascript is generally considered OOP, but classes weren’t widely available till 2017.

    Inheritance isn’t fundamental to OOP, and neither are interfaces. You can have a duck- typed OOP language without inheritance, although I don’t know of any off the top of my head.

    Honestly, the more fundamental thing about OOP is that it’s a programming style built around objects. Sometimes OO languages are class based, or duck typing based, etc. But you’ll always have your data carrying around it’s behavior at runtime.


  • keeping state (data) and behavior (functions) that operate on that state, together

    Importantly, that’s “together at runtime”, not in terms of code organization. One of the important things about an object is that it has dynamic dispatch. Your object is a pointer both to the data itself and to the implementation that works on that data.

    There’s a similar idea that’s a bit different that you see in Haskell, Scala, and Rust - what Haskell calls type classes. Rust gives it a veneer of OO syntax, but the semantics themselves are interestingly different.

    In particular, the key of type classes is keeping data and behavior separate. The language itself is responsible for automagically passing in the behavior.

    So in Scala, you could do something like

    def sum[A](values: List[A])(implicit numDict: Num[A]) = values.fold(numDict.+)(numDict.zero)
    

    Or

    def sum[A: Num](values: List[A]) = values.fold(_ + _)(zero)
    

    Given a Num typeclass that encapsulates numeric operations. There’s a few important differences:

    1. All of the items of that list have to be the same type of number - they’re all Ints or all Doubles or something

    2. It’s a list of primitive numbers and the implementation is kept separate - no need for boxing and unboxing.

    3. Even if that list is empty, you still have access to the implementation, so you can return a type-appropriate zero value

    4. Generic types can conditionally implement a typeclass. For example, you can make an Eq instance for List[A] if A has an Eq instance. So you can compare List[Int] for equality, but not List[Int => Int].








  • Pipoca@lemmy.worldtoProgramming@programming.devRust vs C
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    10 months ago

    C is many things, but elegant really isn’t one of them.

    C has always been part of the “worse is better”/New Jersey school of thinking. The ultimate goal is simplicity. Particularly simplicity of language implementation, even if that makes programs written in that language more complex or error prone. It’s historically been a very successful approach.

    Rust, on the other hand, is part of “The Right Thing”/MIT approach. Simplicity is good, but it’s more important to be correct and complete even if it complicates things a bit.

    I don’t really think of void* and ubiquitous nulls, for example, as the hallmark of elegance, but as pretty simple, kludgey solutions.

    Rust, on the other hand, brings a lot of really elegant solutions from ML- family languages to a systems language. So you get algebraic data types, pattern matching, non-nullable references by default, closures, typeclasses, expression-oriented syntax, etc.