What Programming Language Should I Use for a Terminal Translator Project?

Just dive in and start building! This project will teach you a lot about data structures and algorithms. While Python might not be the fastest, it’s perfect for experimentation and learning. If the performance issues arise down the line, then you can think about changing languages!

Remember, there are many factors that can slow down a program. If performance is a big concern, using a compiled language instead of an interpreted one might be wiser. But if you're using it for something like AI language translation with external libraries, Python's performance won’t be an issue at all!

Honestly, go with whatever language you're most comfortable with. You can always switch later if you hit performance issues. For a CLI tool, Python or Go would work well. If performance does become a big concern later, then maybe consider something faster like Rust or C++.

Think about what exactly you mean by a terminal translator. Python can leverage C libraries to handle heavy tasks effectively when it feels slow. Don’t jump into optimizing too soon!

Your worry about Python's performance is valid, but without specific benchmarks, it might be too early to stress about it. Just focus on getting started and see how it performs in practice!