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CPython's Garbage Collector and Its Impact on Application Performance

Learn how the knowledge of CPython internals translate into performance insights for your code

As I posted an explainer about it on Twitter, I realized there is a need for a simpler article on the design of GC which makes it easy to deduce performance insights around memory management in Python applications. The few insights that I am listing below are mostly to reduce the cost of GC or memory allocation, with the goal of illustrating how the knowledge of the internals help in analyzing and improving the performance of your applications. I’ve written a lot of articles covering the implementation details of CPython but I am realizing I also need to provide these insights which are useful for developers who are deploying Python in production.

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