Jason Brownlee's Blog, page 41

Multiprocessing Pool Logging From Worker Processes

You can log from worker processes in the multiprocessing pool using a shared multiprocessing.Queue and a logging.handlers.QueueHandler. In this tutorial you will discover how to log from worker processes in the multiprocessing pool in Python. Let’s get started. Need to Log from Worker Processes The multiprocessing.pool.Pool in Python provides a pool of reusable processes for […]

7 Multiprocessing Pool Common Errors in Python

You may encounter one among a number of common errors when using the multiprocessing.Pool in Python. These errors are often easy to identify and often involve a quick fix. In this tutorial you will discover the common errors when using multiprocessing pools in Python and how to fix each in turn. Let’s get started. Common […]

Multiprocessing Pool Best Practices in Python

It is important to follow best practices when using the multiprocessing.Pool in Python. Best practices allow you to side-step the most common errors and bugs when using processes to execute ad hoc tasks in your programs. In this tutorial you will discover the best practices when using process pools in Python. Let’s get started. Multiprocessing […]

Multiprocessing Pool Exception Handling in Python

Last Updated on August 12, 2022 You must handle exceptions when using the multiprocessing.pool.Pool in Python. Exceptions may be raised when initializing worker processes, in target task processes, and in callback functions once tasks are completed. In this tutorial you will discover how to handle exceptions in a Python multiprocessing pool. Let’s get started. Multiprocessing […]

5 Usage Patterns for the Multiprocessing Pool

You can adopt one of the common usage patterns to get the most out of the multiprocessing.Pool in Python. In this tutorial, you will discover the common usage patterns for Python multiprocessing pools. Let’s get started. Multiprocessing Pool Usage Patterns The multiprocessing.Pool provides a lot of flexibility for executing concurrent tasks in Python. Nevertheless, there […]

Multiprocessing Pool Life-Cycle in Python

The multiprocessing.Pool is a flexible and powerful process pool for executing ad hoc tasks in an asynchronous manner. In this tutorial, you will discover how to get started using the multiprocessing.Pool quickly in Python. Let’s get started. Multiprocessing Pool Life-Cycle The multiprocessing.Pool provides a pool of generic worker processes. It was designed to be easy […]

Multiprocessing Pool Example in Python

The multiprocessing.Pool is a flexible and powerful process pool for executing ad hoc CPU-bound tasks in a synchronous or asynchronous manner. In this tutorial you will discover a multiprocessing.Pool example that you can use as a template for your own project. Let’s get started. Multiprocessing Pool Example Perhaps the most common use case for the […]

Multiprocessing Pool Get First Result

You can get the first result from tasks in the multiprocessing.pool.Pool either via a shared multiprocessing.Queue or by issuing tasks via the imap_unordered() function and getting the first value from the iterable. In this tutorial you will discover how to get the first result from the multiprocessing pool in Python. Let’s get started. Need to […]

Multiprocessing Pool vs ProcessPoolExecutor in Python

Python provides two pools of process-based workers via the multiprocessing.pool.Pool class and the concurrent.futures.ProcessPoolExecutor class. In this tutorial you will discover the similarities and differences between the multiprocessing.pool.Pool and ProcessPoolExecutor. This will help you decide which to use in your Python projects for process-based concurrency. Let’s get started. What is multiprocessing.Pool The multiprocessing.pool.Pool class provides […]

Multiprocessing Pool vs Process in Python

In this tutorial you will discover the difference between the multiprocessing.Pool and multiprocessing.Process and when to use each in your Python projects. Let’s get started. What is a multiprocessing.Pool The multiprocessing.pool.Pool class provides a process pool in Python. Note, you can access the process pool class via the helpful alias multiprocessing.Pool. It allows tasks to […]