Python stores all of its objects and data structures in a private heap that it utilises to manage memory. The internal management of this private heap is the responsibility of the Python memory manager.
Memory in Python is managed automatically. It uses reference counting to keep track of objects and a garbage collector to clean up cyclic references. Developers don’t usually need to worry about memory allocation or deallocation, making Python memory management convenient and efficient.
In order to manage memory, Python uses a private heap that houses all of its objects and data structures. The Python memory manager is responsible for internal administration of this private heap.
Memory management in Python involves a private heap containing all Python objects and data structures. The management of this private heap is ensured internally by the Python memory manager.
