Premise: It's more important to be productive than to have fast code.
Conclusion: Use Python.
Is the premise true? For many cases- yes, but it depends. If you are running an application on the cloud and your metric is $/user/year and you have many users then saving some compute resources for each user gets attractive and you don't want to just throw another VM at it.
Is the conclusion true? Garbage collection gives big productivity gains. Other languages have GC. It's not nice to see your Python code die after a few days because you messed up the type passed to a function. Other languages fix that at compile time. Multicore is now. Other languages are built with better multicore awareness.
Is the conclusion true? Garbage collection gives big productivity gains. Other languages have GC. It's not nice to see your Python code die after a few days because you messed up the type passed to a function. Other languages fix that at compile time. Multicore is now. Other languages are built with better multicore awareness.