Yasoob Khalid • 5/29/2019

Speeding up Python code using multithreading

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This 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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#Python #Multithreading #Concurrentfutures
Speeding up Python code using multithreading

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