Python is quickly taking the crown for low-barrier to entry, slow, buggy code supported primarily by stackoverflow copy pastes from a never-ending supply of “data scientists”
The language has flaws. But the function parameters are an joy and incredibly powerful. The validation and type coercion is excellent. The functions are extremely composable.
Overall, it's the epitome of "pit of success".
The same team that has all this powershell also has about 50k lines of Python. The Python has the stench of swamp farts, so I don't think it's team skill that makes the powershell work so well.
However, Python really doesn't shine when compared with other memory safe languages like Go, Rust, and Java.
Ultimately, Python is single-threaded by design. There are some hacks to get around this design contraint (multi-processing), but then you are adding an entire additional Python runtime to your system's memory for every "thread" you want to run. Even with asyncio, Python performs the worst when it comes to I/O.
I love Python, but it's important to understand that due to specific design considerations it is not and will likely never be a performant language.
reference: https://medium.com/star-gazers/benchmarking-low-level-i-o-c-...
Having been a C++ and python developer I see just as many footguns in both languages and have spent many many many hours dealing with slow, buggy code in either.
But I agree about the hordes of data scientists making copy and paste spaghetti. This is evidenced by companies deploying Jupyter notebooks in production, which essentially witnesses the fact that they've given up on getting data people to write quality production Python, and instead they treat their prototype spaghetti as sandboxed blackboxes that can be tested on inputs and deployed if they perform well enough.
Back then it was actually quite possible to build an entire website or "app" as we call them now from first principles just banging your head against HTML/CSS/JS and whatever server side language you were using. Then the internet grew up, security issues became more prevalent, packages, other people's code, dependency hell, "futures", "promises", server state and client state management, shadow dom, reactivity, etc etc.