What mechanisms control memory release in Python?

Memory management in Python is handled automatically through several mechanisms:

1. Reference Counting — the primary mechanism where each object has a reference count. When the count reaches zero, the memory is freed.

2. Garbage Collector — additionally detects cyclic references that cannot be removed by reference counting.

3. Interpreter's Memory Manager — allocates and frees memory for objects, optimizing heap operations.

Thus, developers usually do not need to manually manage memory, but it is important to understand that cyclic references can lead to delays in memory release if they are not broken.