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Distributed Computing with Python

Track :

Programming

Lessons no : 7

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Lessons | 7


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Now it turns out that Python specifically has issues with performance when it comes to distributed systems because of its Global Interpreter Lock (GIL). This is basically the soft underbelly of Python that only allows for a single thread to be controlled by the interpreter at a time .