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Lære Challenge: Identify Concurrency Opportunities | Introduction to Concurrency
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Python Multithreading and Multiprocessing

bookChallenge: Identify Concurrency Opportunities

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Imagine you are developing a Python application that automates data handling for a research team. The application has three main tasks: first, it downloads several large CSV files from different remote servers; second, it processes each downloaded file to clean and transform the data; third, it generates summary statistics and plots from the processed data and saves the results to disk. Each file is independent—downloading one does not depend on another, and processing or analyzing one file does not depend on others.

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Suppose your application handles several independent files. For each file, you need to download it, process it, and generate statistics and plots. Which of the following tasks could be executed concurrently for different files?

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