Concurrent programming: processes and threads

Concurrent programming: processes and threads

In computer science, processes and threads are two important concepts of concurrent programming. They are both ways of implementing multitasking, but differ in their implementation. This article will introduce the concepts of process and thread in detail, and provide corresponding source code examples.

1. Process

A process is an instance of a program running in a computer. Each process has its own address space, memory, and resources. The processes are independent of each other, they do not share memory, and the communication needs to be carried out through the inter-process communication (IPC) mechanism.

Here is an example code for creating a process using Python's multiprocessing module:

from multiprocessing import Process

def worker(name):
    print(f'Hello, {
     
      
      name}