I started with fortran 77. C++ is very simple in comparison.
That said, the reason we use python is the ML/AI ecosystem. We do create proper libraries, backend applications, proper type annotations, CI/CD, API, docker and kubernetes. Real software. But the heavy lifting job is done by libraries that have python as main interface.
With python one can produce good code and products, but code reviews and guidelines are extremely important. Too many ways to do the same thing, too many styles, too many people that believe they can code, and too many people that simply don’t accept that python is not java or c#.
Proper type annotations are possible in Python, but its more the excemption than the rule.
What I encounter in Python world are dicts, dicts and more dicts.
Edit: i’ve encountered some developers stepping up from Python to kotlin and Java and making a total mess of things. I agree that it is possible to write structured Python code but 80% of developers are never going to surpass the “scripting” level.
I started with fortran 77. C++ is very simple in comparison.
That said, the reason we use python is the ML/AI ecosystem. We do create proper libraries, backend applications, proper type annotations, CI/CD, API, docker and kubernetes. Real software. But the heavy lifting job is done by libraries that have python as main interface.
With python one can produce good code and products, but code reviews and guidelines are extremely important. Too many ways to do the same thing, too many styles, too many people that believe they can code, and too many people that simply don’t accept that python is not java or c#.
Proper type annotations are possible in Python, but its more the excemption than the rule.
What I encounter in Python world are dicts, dicts and more dicts.
Edit: i’ve encountered some developers stepping up from Python to kotlin and Java and making a total mess of things. I agree that it is possible to write structured Python code but 80% of developers are never going to surpass the “scripting” level.