Python is like anything in that it rewards experience. If you know about asyncio you can write beautiful, performant code that can deal with networking, files,

Python is like anything in that it rewards experience. If you know about asyncio you can write beautiful, performant code that can deal with networking, files, and other blocking resources without halting the program every time. If you know about processor executor pools -- you can easily execute CPU-intensive operations on different cores even though your main program is single-threaded. If you know a little about databases you can write highly portable and simple queries with SQLite. You can use Python in the same way that other languages allow you to write performant servers, desktop applications, websites, and even software that runs on phone. But you need to know what the best approaches are. The thing about Python is that its a very old language. It didn't always have things like asyncio which is now arguably the best approach for dealing with concurrency and the modern challenges of blocking I/O. New libraries appear all the time, and the language and tooling continue to evolve. I think older developers who may have only dabbled in Python might have out-dated views about the language because there definitely were times in Python's history where it lagged far behind other languages.