Python Multi-threading and Concurrency: Exercises and Solutions

Last update on December 21 2024 07:47:12 (UTC/GMT +8 hours)

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

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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.
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2. Write a Python program to download multiple files concurrently using threads.
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3. Write a Python program that creates two threads to find and print even and odd numbers from 30 to 50.
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4. Write a Python program to calculate the factorial of a number using multiple threads.
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5. Write a Python program to implement a multi-threaded merge sort algorithm.
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6. Write a Python program to implement a multi-threaded quicksort algorithm.
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7. Write a Python program that performs concurrent HTTP requests using threads.
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