Login Register

multiprocessing.pool.Pool.starmap()

starmap(func, iterable[, chunksize])

Like map() except that the elements of the iterable are expected to be iterables that are unpacked as arguments.

Hence an iterable of [(1,2), (3, 4)] results in [func(1,2), func(3,4)].

New in version 3.3.

Links:

https://docs.python.org/3.5/library/multiprocessing.html#multiprocessing.pool.Pool.starmap

doc_python

2025-01-10 15:47:30

Comments

Leave a Comment

Please login to continue.

Popular Articles

multiprocessing.pool.Pool.starmap_async() starmap_async(func, iterable[, chunksize[, callback[, error_back]]]) A combination of starmap() and map_async() that iterates over iterable of ite

multiprocessing.pool.Pool class multiprocessing.pool.Pool([processes[, initializer[, initargs[, maxtasksperchild[, context]]]]]) A process pool object which controls a pool

multiprocessing.pool.Pool.imap() imap(func, iterable[, chunksize]) A lazier version of map(). The chunksize argument is the same as the one used by the map() method. For very long

multiprocessing.pool.Pool.close() close() Prevents any more tasks from being submitted to the pool. Once all the tasks have been completed the worker processes will exit.

multiprocessing.pool.Pool.join() join() Wait for the worker processes to exit. One must call close() or terminate() before using join().