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Actually, Python is compiled to its bytecode and then interpreted by the Python VM, which is also how Java works. Python is slow because the lack of funds and people's focus, just take look at how fast JavaScript(V8) is nowadays.

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No, Python bytecode is still interpreted at runtime. Java, JS and .NET is first compiled into bytecode but then they are also JIT-compiled into machine code which Python is not.

You can JIT Python also using https://www.pypy.org/ but it's not the default and it's not 100% official and compatible.

It's also nowhere near as fast as other language JITs. I'm talking orders of magnitude slower than JVM, .NET and LuaJIT. End result being a - relatively - dead project, since the incentives for people to use it over stock Python and pay extra compatibility costs are not there.

I think you entirely ignored the performance cost of dynamism (not having types known, not having value types, dynamic binding of methods etc..) that is handy 1% of the time but imposes type safety & performance cost other 99% of the time..

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