Github user Stibbons commented on the issue:
    For information, I continue to look at these kind of simple optimisations 
that does not cost too much. Python is a pretty slow language, very productive 
in term of code writing, but inefficient in term of execution. So if we can 
avoid looping once or twice in a list and replace lists by generator, I think 
that is very valuable for the Spark project

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