Hello all,
I am a data center engineer of about 8 years now. I’ve spent the last 3 years or so slowly learning Python(I say slowly not because of my effort, but because learning Python was actually very difficult for me.) I am not an expert in any way shape or form, I understand the concepts of OOP, inheritance, classes, functions, methods, etc and I have found that the python documentation that can be found within the language is usually enough for me to be able to write the programs that I want to write. Very rarely have I had to write programs that have to bypass the GIL, but occasionally, I have created threadpools for applications that are not I/O intensive. What I’m saying is, for most things that I create, performance is enough with Python.
However, I have been inspired by how much love Rust is getting from the people who use Rust. I have tried to find some books for using Rust for network automation and unfortunately I have not been able to find any reputable books.
Most of the “automation” work that I do involves parsing data with regex, restructuring the data, converting the data into a modeled format and transforming something with that data. Does anyone have any common use cases for Rust that might interest me? Has anyone used Rust for network automation tools? With familiarity, can Rust’s intuitiveness match Python’s “from idea to deployment” speed? Or should I only learn Rust if I intend to create applications that need tight performance?
It only took me ~2 weeks of playing with Rust before it became my scripting language of choice over Python (which I had been using casually for ~5 years by that point).
The initial setup for Rust can be whipped up with
$ cargo init. You’re right that there’s more setup boilerplate because of the mandatoryCargo.tomland directory structure, butcargo initwill provide all that in a snap.As for the domain specific boilerplate, I actually find that Rust is better at that than Python in almost all cases. I feel that Rust’s
clapis much simpler, more reliable, and less boilerplate than Python’s argparse. Python might win in cases where there’s a very mature domain specific package that you need which isn’t available in the Rust ecosystem, but that’s becoming rare as crates.io grows.And then when it comes to the actual “scripting”, very often my IDE’s intellisense can practically fill in the Rust code for me. One keystroke per word and it knows what function I want, or I can quickly scroll through the recommendations until I find what I’m looking for. Meanwhile with Python I always have to consult docs to find any API that isn’t part of the basic standard library. As a result I’ll often get the scripting done faster in Rust than in Python.
It does absolutely take some time to reach that point, though. Most programmers will definitely feel significant discomfort with Rust initially, but that’s just because you need to deprogram your brain from the bad habits that other languages encourage. There’s a tipping point in that deprogramming where all the other languages start to feel uncomfortable because you know it won’t let you write as good quality of code as Rust would.
I can’t confirm the point about autocompletion with Python. When using strictly typed Python (mypy), the suggestions are just as good
Using visual studio code this only happens if the library has thorough type annotation. While that’s becoming more popular, it’s not enforced at the language level so lots of libraries have enormous gaps in the autocomplete.
It’s improved a lot over the past year, but you’re right. Not even the standard library is typed