Jason Brownlee's Blog, page 35

Show Progress with the ThreadPool in Python

You can show the progress of tasks in the ThreadPool using a callback function. In this tutorial, you will discover how to show the progress of tasks in the ThreadPool in Python. Let’s get started. Need To Show Progress of Tasks in the ThreadPool The multiprocessing.pool.ThreadPool in Python provides a pool of reusable threads for […]

ThreadPool Wait For All Tasks To Finish in Python

You can wait for tasks issued to the ThreadPool to complete by calling wait() on the AsyncResult object or calling join() on the ThreadPool. In this tutorial, you will discover how to wait for tasks to complete in the ThreadPool in Python. Let’s get started. Need Wait For All Tasks in the ThreadPool The multiprocessing.pool.ThreadPool […]

ThreadPool Follow-Up Tasks in Python

You can issue follow-up tasks with the ThreadPool either manually by checking the results of tasks or automatically using a result callback function. In this tutorial, you will discover how to execute follow-up tasks to the ThreadPool in Python. Let’s get started. Need to Issue Follow-Up Tasks to the ThreadPool The multiprocessing.pool.ThreadPool in Python provides […]

ThreadPool Tasks Fail Silently (and how to fix it)

Asynchronous tasks issued to the ThreadPool can fail silently. You can learn more about asynchronous tasks that fail silently in the ThreadPool by adding an error callback, explicitly getting the task return value, or by issuing the task synchronously. In this tutorial, you will discover how to learn more about asynchronous tasks that fail silently […]

ThreadPool Stop All Tasks If One Task Fails in Python

You can cancel all tasks in the ThreadPool if one task fails using a shared Event object. In this tutorial, you will discover how to cancel all tasks in the Python ThreadPool if one task fails. Let’s get started. Need To Stop All Tasks on Exception The multiprocessing.pool.ThreadPool in Python provides a pool of reusable […]

ThreadPool Stop All Tasks in Python

You can safely stop tasks in the ThreadPool using a shared Event object. In this tutorial, you will discover how to safely stop tasks in the ThreadPool in Python. Let’s get started. Need to Safely Stop All Tasks The multiprocessing.pool.ThreadPool in Python provides a pool of reusable threads for executing ad hoc tasks. A thread […]

ThreadPool Get Results from Asynchronous Tasks

You can get results from tasks in the ThreadPool using a callback or by calling AsyncResult.get(). In this tutorial, you will discover how to get results from tasks issued asynchronously to the ThreadPool in Python. Let’s get started. ThreadPool Asynchronous Tasks We can execute tasks asynchronously using the ThreadPool. The ThreadPool class provides three functions […]

Does the ThreadPool Stop Main From Exiting

The ThreadPool will be closed automatically by the Python garbage collector if required. It will not prevent the program from exiting and the worker threads will not keep running if the main thread exits without closing the pool. In this tutorial, we will explore what happens if you forget or are unable to close the […]

ThreadPool When Are Workers Started

Child worker threads are started automatically after creating an instance of the ThreadPool class. In this tutorial, you will discover when the worker threads are created in the ThreadPool in Python. Let’s get started. ThreadPool Workers The ThreadPool provides a pool of reusable workers for executing ad hoc tasks with thread-based concurrency. An instance of […]

Details of Threads Used in ThreadPool in Python

You can get the details of the thread used to initialize worker threads and to execute tasks in the ThreadPool. Additionally, the ThreadPool uses helper threads internally to help with the management of the ThreadPool. We can get the details of these threads in the main thread that creates the ThreadPool. In this tutorial, you […]