Some time ago I wrote this short article about co- and controvariance in Kotlin and how these features help the developer to write less error prone code. When I talked with some colleagues about TypeScript, I recognized that, despite some experiences I made with small pet projects, I do no know about type variance in TypeScript. Thus, I decided to take a look and was surprised. TypeScript is not that well-typed as I thought…
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Haskell is Faster than Rust! … Wait a Sec!
To evaluate the impact of memory management in Rust, I implemented a short benchmark in Rust and Kotlin. You can find all the details here and here. Measurements showed that Rust is roughly a factor of 10 faster than Kotlin, most probably caused by better handling of memory garbage. Being a big fan of Haskell, I was curious to see how the grand old lady of functional programming would compete against these two. So, I implemented the benchmark, did some measurements, and was surprised.
Continue readingYes, Rust has Garbage Collection, and a Fast One
Rust is getting more and more popular. Thus, a group of colleagues, including myself, evaluated it for half a day to build up our own opinion, if Rust is of strategic interest for us or not. We did some coding following the standard introduction book, looked at some frameworks, and watched the presentation “Considering Rust”. The general conclusion was more or less in the line of: yeah, a nice new programming language, but without a full-grown ecosystem and without any garbage collection, it will be too cumbersome and unproductive for us in our projects. My gut feeling did not agree with the assessment regarding garbage collection. Thus, I did some more digging and testing and came up with my current conclusion: Rust does indeed garbage collection, but in a very clever way.
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