Python Memory Management: Avoiding Common Pitfalls and Memory Issues and memory leaks and excessive garbage collection

Memory management is an important aspect of programming in any language, and Python is no exception. In Python, memory is managed automatically through a process called garbage collection. While this can be convenient for developers, it can also lead to issues like memory leaks and excessive garbage collection. In this article, we will explore Python's memory management model and provide tips for avoiding common pitfalls.

Python Memory Model

In Python, objects are created dynamically and stored in memory. Each object has a reference count, which keeps track of how many references to the object exist. When an object's reference count reaches zero, it is no longer accessible and can be garbage collected.

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