Python Multi-threading and Concurrency: Exercises and Solutions
This resource offers a total of 35 Python Multi-threading and Concurrency problems for practice. It includes 7 main exercises, each accompanied by solutions, detailed explanations, and four related problems.
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.
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1. Multiple Threads Creation
Write a Python program to create multiple threads and print their names.
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2. Concurrent File Downloader
Write a Python program to download multiple files concurrently using threads.
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3. Even and Odd Printer Threads
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. Multithreaded Factorial Calculator
Write a Python program to calculate the factorial of a number using multiple threads.
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5. Multi-threaded Merge Sort
Write a Python program to implement a multi-threaded merge sort algorithm.
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6. Multi-threaded Quicksort
Write a Python program to implement a multi-threaded quicksort algorithm.
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7. Concurrent HTTP Requests
Write a Python program that performs concurrent HTTP requests using threads.
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