Explain the memory management process in Python. What are the common techniques used for garbage collection?

## Approach - **Memory Allocation:** Python allocates memory for objects when they are created and releases it when they are no longer needed. Objects have reference counts that determine their lifespan. - **Garbage Collection:** The primary method of garbage collection is reference counting. If an object's reference count drops to zero, the memory can be freed. Python supplements this with a cyclic GC to clean up reference cycles. ## Performance Considerations While garbage collection improves memory management, excessive allocation/deallocation can affect performance. Opting for object pooling techniques may help mitigate this issue.