Python Multithreading and Multiprocessing

# Introduction Step into a world where the industrial revolution has reshaped society, and the hustle and bustle of 19th-century Victorian-era life patterns the cobblestone streets. Here, amidst the foggy alleyways lined with the clatter of horse-drawn carriages and the distant hum of factory machinery, lives a character whose talent captivates the thronging crowds – a street performer known for his incredible ability to multitask. Our performer, named Oliver, is renowned for juggling objects while balancing on a unicycle, playing the harmonica, and solving complex riddles simultaneously. To the amazement of his audience, Oliver's performances are seamless and efficient, a testament to his mastery of concurrent activities. This Lab aims to mirror Oliver’s multitasking prowess by diving into Python's multithreading and multiprocessing capabilities, ensuring that coders can manage multiple tasks simultaneously without a hitch.

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