Garbage collection in python

garbage collection in python is the process of automatically detecting and removing unreferenced objects from the memory to free up space. python uses a built-in garbage collection mechanism known as reference counting and a cycle-detecting garbage collector to manage memory efficiently.

1. reference counting:
python uses a simple and efficient technique called reference counting to track the number of references to an object. every object in python has a reference count, which is incremented when a new reference to the object is created and decremented when a reference is deleted. when the reference count of an object reaches zero, it means that the object is no longer in use and can be safely deallocated from memory.

2. cycle-detecting garbage collector:
in addition to reference counting, python also employs a cycle-detecting garbage collector to handle more complex scenarios where objects reference each other in a cyclic manner. this garbage collector is responsible for identifying and breaking cycles of objects that are no longer reachable from the program, allowing them to be garbage collected.

here is a simple example to demonstrate garbage collection in python:

garbage collection in python helps manage memory efficiently and prevent memory leaks by automatically reclaiming memory occupied by unreferenced objects. it is an essential feature of the python runtime that simplifies memory management for developers.

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#python collections module
#python collections ordereddict
#python collections counter

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