Jason Brownlee's Blog, page 38

ThreadPool Initialize Worker Threads in Python

You can initialize worker threads in the ThreadPool by setting the “initializer” argument in the multiprocessing.pool.ThreadPool class constructor. In this tutorial you will discover how to initialize worker threads in the ThreadPool in Python. Let’s get started. Need to Initialize Worker Threads The multiprocessing.pool.ThreadPool in Python provides a pool of reusable threads for executing ad […]

ThreadPool Configure The Number of Worker Threads

You can configure the number of worker threads in the ThreadPool class via the “processes” argument. In this tutorial you will discover how to configure the number of worker threads for the ThreadPool in Python. Let’s get started. Need to Configure the Number of Worker Threads The multiprocessing.pool.ThreadPool in Python provides a pool of reusable […]

Should We Use the ThreadPool Class in Python

Last Updated on September 12, 2022 You should use the ThreadPool class in your smaller program. For newer programs expected to live for years, consider the ThreadPoolExecutor as an alternative. In this tutorial you will discover whether you should use the ThreadPool class in your Python project or not. Let’s get started. What is the […]

ThreadPool Life-Cycle in Python

Last Updated on September 11, 2022 The multiprocessing.pool.ThreadPool is a flexible and powerful thread pool for executing ad hoc tasks in an asynchronous manner. In this tutorial, you will discover how to get started using the ThreadPool quickly in Python. Let’s get started. ThreadPool Life-Cycle The multiprocessing.pool.ThreadPool provides a pool of generic worker threads. It […]

ThreadPool Class in Python

You can create a thread pool using the multiprocessing.ThreadPool class. In this tutorial you will discover the ThreadPool wrapper for the multiprocessing.Pool class in Python. Let’s get started. What is a Thread A thread refers to a thread of execution by a computer program. Every Python program is a process with one thread called the […]

What is the multiprocessing.dummy Module

Last Updated on September 9, 2022 The multiprocessing.dummy module module provides a wrapper for the multiprocessing module, except implemented using thread-based concurrency. It provides a drop-in replacement for multiprocessing, allowing a program that uses the multiprocessing API to switch to threads with a single change to import statements. In this tutorial you will discover the […]

Does a Child Process Stop a Python Program From Exiting

If a Python program has one or more non-daemon processes running, it cannot exit, even if forceful attempts to exit are made such as by calling sys.exit(). In this tutorial you will discover whether a running child process can prevent a program from exiting in Python. Let’s get started. Does the Program Exit If Child […]

Multiprocessing Manager Nested Proxy Objects

You can create a managed python object and add a managed object to it, nesting one proxy object within another. This allows hosted objects created via a multiprocessing Manager nested one within another to behave as expected when shared across processes. In this tutorial you will discover how to nest proxy objects when sharing them […]

How to Use a Manager Namespace to Share Data with Processes

You can use a manager to create a namespace that may be used to share primitive variables safely with processes. In this tutorial you will discover how to use a namespace to share data among processes in Python. Let’s get started. What is a Multiprocessing Manager A manager in the multiprocessing module provides a way […]

Multiprocessing Manager Server Process and Threads

Methods of objects hosted in a manager are executed by threads in the manager’s server process. In this tutorial you will discover the multiprocessing manager server process and threads used to execute code of hosted objects. Let’s get started. What is a Multiprocessing Manager A manager in the