Why and Why not Rust? (2024)

FAQs

Why is Rust so hard to read? ›

One of the problems why I found Rust hard to learn was that it looked similar to other imperative languages on one side, but introduced a lot of novel concepts. It has all these cycles, conditions, functions, like everyone else. But it also has the ownerships and traits and lifetimes.

Look, if you're not building low-level stuff like drivers, embedded systems, or operating systems, and you don't have a laser-focused goal, do not use Rust. In scenarios where time-to-market is king, garbage-collected languages like C#, JavaScript, and Python are the real MVPs.

Rust is extremely powerful but has a higher initial barrier to entry than most languages due to its type system and ownership model (affine types).

Rust's design prioritizes performance and memory safety without compromising on speed, making it an excellent choice for AI applications where processing efficiency is critical.

Rust is One of the Fastest Growing Programming Languages, According to The IEEE Spectrum Development report by Tiobe Co.

Rust focuses on one thing, writing code that doesn't crash and is memory safe. It is a programmer's dream as it helps you write safe code. This course is for anyone and everyone looking to enter the world of Rust. You need to have zero programming experience to start learning with this course.

Violence & Gore (3)

Players can be killed in a multitude of ways including but not limited to: stepping in a bear trap, stepping on a land mine, being shot by a firearm, being stabbed by a knife/sword, having their head smashed in by a rock/club, being burned by a flamethrower and being mauled by animals.

Rust and corrosion can cause significant damage to machinery and equipment; weakening metal structures, causing them to fail and leading to increased repair and replacement costs.

Rust is loved for its memory safety, performance, and concurrency. It enables developers to create reliable and effective apps. Its strong type of system ensures memory safety without sacrificing performance, making it a reliable choice for systems programming.

Rust isn't particularly good at correctness of programs compared to something like Agda, but it is much easier to write Rust programs than Agda programs. The sides of the tradeoff are problem domain complexity, runtime cost, programmer effort, and compile-time cost.

Why is Rust difficult? ›

Most of what makes Rust relatively hard is that the compiler is less forgiving of errors than other programming languages, so that a program that Rust accepts is more likely to be correct than a program that simply compiles/runs written in another language.

Using Rust to develop operating systems

Rust was originally created to solve an operating system issue (remember the elevator problem?) —so, unsurprisingly, it's often used to build operating systems, kernels, device drivers, or other low-level components where control over memory and performance is crucial.

Both the programming languages have their own pros and cons like C++ has huge community support and many frameworks for software development but rust doesn't have that much support in comparison to C++.

Speed. Rust's performance translates into faster execution speeds than Python, especially for CPU-bound tasks. Python's interpreted nature introduces overhead, making it slower in comparison, particularly for performance-critical applications.

Mojo is the first programming language to take advantage of all the advances in MLIR, both to produce more optimized CPU code generation, but also to support GPUs and other accelerators, and to also have much faster compile times than Rust.

Rust is widely considered easier to learn than C++. C++ is notoriously difficult, with experienced and senior developers turning to it for the most part. Meanwhile, Rust is thought to have a low learning curve.

Rust is slightly more complex than other languages, meaning it has a relatively higher learning curve compared to Python, for example. That's because Rust requires a slightly higher degree of coding knowledge in order to use it efficiently.

The average reader will spend 9 hours and 12 minutes reading this book at 250 WPM (words per minute).