![]() ![]() Future objectĪ Future is an object that represents the eventual result of an asynchronous operation. To avoid calling the shutdown() method explicitly, you can use the context manager. Once completing working with the executor, you must explicitly call the shutdown() method to release the resource held by the executor. When you create a new instance of the ThreadPoolExecutor class, Python starts the Executor. map() – execute a function asynchronously for each element in an iterable.The submit() method takes a function and executes it asynchronously. submit() – dispatch a function to be executed and return a Future object.The Executor class has three methods to control the thread pool: ![]() The ThreadPoolExecutor class extends the Executor class and returns a Future object. To create a thread pool, you use the ThreadPoolExecutor class from the concurrent.futures module. Typically, a thread pool allows you to configure the number of worker threads and provides a specific naming convention for each worker thread. It also protects against unexpected failures such as exceptions. A thread pool allows you to reuse the worker threads once the tasks are completed. A thread pool allows you to automatically manage a pool of threads efficiently:Įach thread in the pool is called a worker thread or a worker. Thread poolĪ thread pool is a pattern for achieving concurrency of execution in a program. A thread pool allows you to achieve this. ![]() Instead of doing so, you may want to reuse the threads if you expect to run many ad-hoc tasks in the program. However, manually managing threads is not efficient because creating and destroying many threads frequently are very expensive in terms of computational costs. The Thread class is useful when you want to create threads manually. In the multithreading tutorial, you learned how to manage multiple threads in a program using the Thread class of the threading module. Introduction to the Python ThreadPoolExecutor class Summary: in this tutorial, you’ll learn how to use the Python ThreadPoolExecutor to develop multi-threaded programs. ![]()
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