this post was submitted on 27 Aug 2023
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Programming
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The tricky part isn’t the syntax, it's the domain knowledge. Well, actually it's syntax, too. Swift has a whole lot of things that aren’t like anything else with sprinkles of Objective-C. Rust turns the common patterns upside down because they make borrow checker sad. But, in the end, what makes you a good engineer is knowing how to apply the tool to solve the problem and that goes well beyond syntax.
Programming languages are like different kinds of saws: all of them are made to cut things, but there are nuances. Some are replaceable, others can be used for one specific thing. Knowing how to operate a hacksaw gives you some idea how a chainsaw would work even though they are fundamentally different. But tinkle it this way: what are you trying to do? Answering that will tell you which saw you need to use.
I'm trying to work out which one will have better for ML in a couple of years time.
I don’think rust has any specific features that target ML. Swift does, but it's Apple hardware only.
One of the things that I'm struggling with on Python is the very poor support for AMD GPU's, which are in Macs. I'm sure Swift will do a better job of using the hardware capabilities better.
Only old Macs have AMD GPUs.
If you’re looking for the best utilization of your hardware, I wouldn’t be surprised if Apple’s ML frameworks were best. Since Apple has a small set of hardware, they can write software that takes advantage of it better. Consider looking into Core ML which is by Apple and for Swift. Of course this will only work for Apple hardware, but if this is just for personal interest/hobby then that doesn’t really matter.