The `multiprocess.Pool.imap` method in Python is used to create an iterator that applies a function to each item of an iterable in parallel using a pool of worker processes. It returns the results in the order in which the tasks were started. This method is particularly useful when dealing with computationally intensive tasks as it allows for efficient use of resources by distributing the workload among multiple processes.
Python Pool.imap - 16 examples found. These are the top rated real world Python examples of multiprocess.Pool.imap extracted from open source projects. You can rate examples to help us improve the quality of examples.