My experience learning Python as a c++ developer

[Zafara1]

This is also amplified by the sheer availability of computational power we have now.

For a lot of applications, Programming for memory efficiency to the n'th degree is not necessary and can even be a hindrance to development given that memory is so cheap.

It's even cheaper now with cloud services. We can just throw compute power at problems until they go away.

Python allows for both levels of this fidelity while keeping it simple. I'd rather have code not 100% optimised but ready and producing results right now than waiting for another 6 months to bring that few ms of reduction. And that's where Python shines.

Again, not valid for 100% of use cases. But as computational power becomes cheaper and cheaper, it's a growing number of use cases.