Скачать или смотреть Understanding Python Memory Management

In this section, we’re diving into how Python manages memory. Python uses a dynamic memory allocation strategy handled by the Python memory manager. At its core, Python employs reference counting as a primary technique for memory management. Each object has an associated reference count, which is incremented or decremented as references are made or removed. When an object's reference count drops to zero, it becomes eligible for garbage collection. The garbage collector helps free up memory by removing objects that are no longer in use. However, circular references can sometimes hinder this process, causing memory leaks. Understanding these concepts is crucial for identifying potential performance bottlenecks in your applications. By mastering Python’s memory management, you’ll be better equipped to optimize your code and avoid common pitfalls.