Output of Python Program | Set 2 (Threads)

Output of Python Program | Set 16 (Threads)

Threads in Python allow you to run multiple operations concurrently within the same program. This is especially useful for tasks that can be executed in parallel, such as I/O operations or handling multiple user requests.

Understanding Threads in Python

A thread is a separate flow of execution. Python provides the threading module to work with threads easily. Using threads can improve the performance of programs by running tasks simultaneously.

Example of Thread Usage

Below is a simple example demonstrating how to create and start threads in Python:

import threading
import time

def print_numbers():
    for i in range(1, 6):
        print("Number:", i)
        time.sleep(1)

def print_letters():
    for letter in ['A', 'B', 'C', 'D', 'E']:
        print("Letter:", letter)
        time.sleep(1)

# Creating thread objects
thread1 = threading.Thread(target=print_numbers)
thread2 = threading.Thread(target=print_letters)

# Starting threads
thread1.start()
thread2.start()

# Wait for threads to finish
thread1.join()
thread2.join()

print("Done with threading!")

Expected Output:

The output will interleave numbers and letters as both threads run concurrently, for example:

Number: 1
Letter: A
Number: 2
Letter: B
Number: 3
Letter: C
Number: 4
Letter: D
Number: 5
Letter: E
Done with threading!

Practice Problem

Try writing a Python program where two threads print even and odd numbers separately up to 10. Ensure the output shows numbers in the correct sequence.

Summary

Threads provide a way to run tasks concurrently, which can enhance performance in many scenarios. The Python threading module makes thread management straightforward. Experiment with threads to understand synchronization and race conditions for more complex use cases.