My main complaint is threading, which is not well supported. However there is a multiprocess interface that is very easy to use, just that its going to be heavier on memory usage for the same number of processes vs. threads, or difficult if you have a lot of shared data. The benefit however, is that once you have a program working on with multiple processes, it can scale across multiple machines, something a threaded program can't do.

I really disagree on the critique of the documentation, I think it is excellent and better than most if not all major languages out there.

Also you can catch many of the runtime bugs running pylint.

My main complaint is threading, which is not as performant in many circumstances (compared to Java, C and others) due to the global interpreter lock (see "Inside the Python GIL" (PDF link) talk)

However there is a multiprocess interface that is very easy to use, however it is going to be heavier on memory usage for the same number of processes vs. threads, or difficult if you have a lot of shared data. The benefit however, is that once you have a program working on with multiple processes, it can scale across multiple machines, something a threaded program can't do.

I really disagree on the critique of the documentation, I think it is excellent and better than most if not all major languages out there.

Also you can catch many of the runtime bugs running pylint.