The ability to execute code in parallel is crucial in a wide variety of scenarios. Concurrent programming is a key asset for web servers, producer/consumer models, batch number-crunching and pretty ...
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Free-threaded Python is no longer an experiment. Here's what it unlocked in my workload
It's been in the works for a while.
Learn how to use Python’s async functions, threads, and multiprocessing capabilities to juggle tasks and improve the responsiveness of your applications. If you program in Python, you have most likely ...
It is obvious that global variable are always shared and in most cases this isn’t a problem. However, suppose you have some existing code that makes use of a global variable to store its state and we ...
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Once you know how to add and use a Python module, you will greatly extend the capabilities of the language. A Python module is an external class or set of functions that exist outside the main file of ...
Threading is the most basic way to implement async code but for Python threading is complicated by the GIL. Find out the basics of threading in this extract from my new book Programmer's Python: Async ...
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