The details of Python memory management depend on the implementation. The standard C implementation of Python uses reference counting to detect inaccessible objects, and a separate mechanism to collect reference cycles, periodically executing a cycle detection algorithm which looks for inaccessible cycles and deletes the objects involved. The gc module provides functions to force garbage collection, obtain debugging statistics, and tune the collector’s parameters. Jython relies on the Java runtime so the JVM’s garbage collector is used. The same applies to IronPython, which uses the CLR garbage collector. This difference can cause some subtle porting problems if your Python code depends on the behavior of the reference counting implementation. Sometimes objects get stuck in tracebacks temporarily and hence are not deallocated when you might expect.
The details of Python memory management depend on the implementation. The standard C implementation of Python uses reference counting to detect inaccessible objects, and another mechanism to collect reference cycles, periodically executing a cycle detection algorithm which looks for inaccessible cycles and deletes the objects involved. The gc module provides functions to perform a garbage collection, obtain debugging statistics, and tune the collector’s parameters. Jython relies on the Java runtime so the JVM’s garbage collector is used. This difference can cause some subtle porting problems if your Python code depends on the behavior of the reference counting implementation. Sometimes objects get stuck in tracebacks temporarily and hence are not deallocated when you might expect.
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