Parallel data processing in Python -


i have architecture queue url addresses , classes process content of url addresses. @ moment code works good, slow sequentially pull url out of queue, send correspondent class, download url content , process it.

it faster , make proper use of resources if example read n urls out of queue , shoot n processes or threads handle downloading , processing.

i appreciate if me these:

  1. what packages used solve problem ?
  2. what other approach can think of ?

you might want python multiprocessing library. multiprocessing.pool, can give function , array, , call function each value of array in parallel, using many or few processes specify.


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