Speeding up Python code using multithreading
Read OriginalThis tutorial explains how to use Python's concurrent.futures module and ThreadPoolExecutor to replace slow sequential for-loops with multithreading. It demonstrates a practical example of downloading multiple URLs, showing a significant performance improvement from 4.1 seconds to 0.45 seconds, and explains the basic concepts of adding tasks to a thread pool.
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