![]() However, the obvious algorithm is pretty fast if implemented in a low-level language and makes things more readable.Ī twist is added to make the problem slightly more interesting and demonstrate some fun parts of Rust. You can imagine some combination of Python libraries and tricks that make this possible. Even dedicated Numpy code can be slower than necessary because often there is no need to scan the entire string. This is something that's not easily amenable to performant regular expressions. The toy problem in this case is whether a character appears more than X times in a string. Be helped by the ability to write high-performance loops.To understand a "wrapping in Rust" example, there needs to be a problem to solve. Register for your free Red Hat account Counting characters Even the common microservice architecture, combined with defense-in-depth principles, must be able to unpack untrusted data quickly. In the modern world, browsers are no longer the only things on which there is pressure to be safe and fast. Rust originated from the Mozilla Foundation as a way to improve the Firefox browser. If this sounds like what a web browser does, it is no coincidence. The data to be parsed often comes from untrusted sources and may need to be parsed in a performant way. The quintessential use case for Rust is low-level parsing of protocols. This concern is increasingly important in a networked world. Rust was designed as a language to achieve a combination of high-performance code that is memory safe. Why did people create Rust? What problem was not addressed by existing languages? With the (rare) exception of needing to write unsafe code yourself, memory violations result from the underlying infrastructure. This does not make the statement vacuous though. Rust standard library code has quite a bit of code that is marked unsafe, though less than what many assume. Code that's explicitly declared unsafe.It does mean that there are only two ways that memory violations can happen: Memory safety does not mean it is impossible to have memory violations in Rust. There are other memory-safe languages and other zero-cost abstraction languages. The result is that creating a local object in Rust has no runtime cost (though initialization might).įinally, Rust is a memory-safe language. Rust is designed for zero-cost abstraction, meaning many of the abstractions available at the language level are compiled away at runtime.įor example, objects are allocated on the stack unless explicitly asked for. ![]() It is useful as a first approximation to treat statements like that as "kind of" true. While it is tempting to say that this means a+b in Rust corresponds to one machine instruction, it does not mean quite that! This means that the things the programmers deal with are close to the way computers "really" work.įor example, integer types are defined by bit size and correspond to CPU-supported types. You've likely heard of the language but may not have heard details about how it works. But before discussing how to combine Python with Rust, I want to introduce Rust itself. ![]() Python and Rust are very different languages, but they actually go together rather well.
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