Concurrent execution and multiprocessing using Python
Concurrent execution and multiprocessing using Python Python defaults to a single-threaded execution due to the Global Interpreter Lock (GIL). Despite the pros and cons associated with the GIL, Python now supports the implementation of multiple interpreters concurrently. This playground implements the multithreading concept using a Python program to maximize concurrency, leveraging the concurrent.futures module. A prime-checking program has been developed, omitting optimized algorithms like the Sieve of Eratosthenes. When executed in the typical single-threaded fashion, the program takes 83 seconds to count the number of primes from 1 to 10 million....