What are the differences between processes and execution threads in Python, and what are their usage features?

In Python, processes and threads differ in their level of isolation and methods of managing parallelism:

• Processes are separate instances of the Python interpreter with their own memory. They are completely isolated from each other, allowing the use of multiple CPU cores to execute code in parallel. Python provides the multiprocessing module for working with processes.

• Threads are lightweight units of execution within a single process that share the same memory. Due to the GIL (Global Interpreter Lock) in Python, only one Python thread executes at a time, which limits parallelism in CPU-intensive tasks. Threads are useful for I/O-bound tasks.

Usage features:

• For CPU-intensive tasks, it is better to use processes to bypass the GIL limitation.
• For I/O-bound tasks (like network requests, file operations), threads can improve performance.
• Inter-process communication is more complex than inter-thread communication because processes do not share memory.

Example of creating a process and a thread:

from multiprocessing import Process
from threading import Thread
import time

def worker():
    print("Working")
    time.sleep(1)

# Process
p = Process(target=worker)
p.start()
p.join()

# Thread
t = Thread(target=worker)
t.start()
t.join()