Python Multi-threading and Concurrency: Exercises and Solutions

Python Multi-threading and Concurrency [ 7 exercises with solution ]

[An editor is available at the bottom of the page to write and execute the scripts.   Go to the editor]

Python multi-threading and concurrency refer to techniques and concepts used to achieve parallel execution and improve Python programs' performance by running multiple threads or tasks concurrently. These techniques are essential for optimizing performance, handling I/O-bound tasks efficiently, and achieving parallelism or concurrency in Python programs.

1. Write a Python program to create multiple threads and print their names.
Click me to see the sample solution

2. Write a Python program to download multiple files concurrently using threads.
Click me to see the sample solution

3. Write a Python program that creates two threads to find and print even and odd numbers from 30 to 50.
Click me to see the sample solution

4. Write a Python program to calculate the factorial of a number using multiple threads.
Click me to see the sample solution

5. Write a Python program to implement a multi-threaded merge sort algorithm.
Click me to see the sample solution

6. Write a Python program to implement a multi-threaded quicksort algorithm.
Click me to see the sample solution

7. Write a Python program that performs concurrent HTTP requests using threads.
Click me to see the sample solution

Python Code Editor:

More to Come !

Do not submit any solution of the above exercises at here, if you want to contribute go to the appropriate exercise page.

Test your Python skills with w3resource's quiz