The video explores Python's memory management, focusing on reference counting and cyclic references. It introduces the garbage collector, explaining its role in managing memory by detecting and removing cyclic references. The video details how garbage collection is triggered, emphasizing the generational approach to optimize performance. It highlights the impact of garbage collection on program execution, especially in long-running applications, and suggests considerations for managing memory effectively.

Describe the thresholds for garbage collection in Python.

What happens to objects that survive a garbage collection cycle?

Why might garbage collection pauses become noticeable in long-running Python programs?