Concurrency in Python: How to Speed Up Your Code With Threads

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Theory + Hands-on guide on implementing concurrent execution with Python. Sequential execution doesn’t always make sense. For example, there’s no point in leaving the program sitting idle if the outputs aren’t dependent on one another. That’s the basic idea behind concurrency — a topic you’ll learn a lot about today. This article will teach you how you can speed up your Python code by running tasks concurrently. Keep in mind — concurrent execution doesn’t mean simultaneous. For more info on simultaneous (parallel) execution, check out this article. This article is structured as follows: Introduction to threading Implementing threading — Sending 1000 requests The results Conclusion You can download […]

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