Скачать или смотреть Setting Up a Basic Pool with Multiple Processes

To begin utilizing the Pool class, we need to know how to set it up. First, you'll typically import the Pool class from Python's multiprocessing module. You can create a Pool object by specifying the number of processes you wish to run concurrently. For instance, Pool(processes=4) initializes a pool of four worker processes. This setup allows for parallel execution of tasks, effectively distributing computational workload across these processes. A common mistake is setting too many processes, which can lead to resource exhaustion, so it's crucial to balance the number of processes with the available system resources. A practical demonstration of this setup can include a simple task, such as computing squares of numbers concurrently. This example will highlight how tasks are split across processes and executed simultaneously. Understanding this basic setup is foundational for more advanced Pool functionalities.