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Multiprocessing is widely used in various application areas, including scientific computing, where it enhances performance by distributing complex calculations across multiple processors. In web servers, multiprocessing allows for handling multiple requests simultaneously, improving responsiveness and scalability. Additionally, in data processing and analytics, multiprocessing enables faster data manipulation and analysis by leveraging parallel processing capabilities. Other areas include real-time systems, video processing, and machine learning, where tasks can be executed concurrently for efficiency.

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