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?
Context: I am an embedded software engineer. I write a lot of low level code that runs on microprocessors or in OS kernels, as well as networking applications and other things. I write a lot of C, I write some Rust, I write Elixir if I possibly can, I write a lot of Python (I hate C++ with a passion).
I don't think you want Rust. Python is unbeatable on "idea to deployment" speed. Python's downsides:
Rust is good when you need at least one of:
If you're doing one of those and so have become expert in Rust, then it is actually excellent for a lot of other things. E.g. you might build your data processor in it, and then distribution is easy because it's just a single binary.
One option you might look at is Go. You get a lot of performance, you get good parallelism if you need it, it's designed to be easy to learn, and it also compiles programs to a single binary for easy distribution.
I think you're right. Despite my bandwagon fandom, I Believe Go is more appropriate for my needs. I think a compiled language with more intuitive parallelism is what I need