Your Python code reads some data, processes it, and uses too much memory; maybe it even dies due to an out-of-memory error. In order to reduce memory usage, you first ...

In native code, the heap-allocated PyObjects are managed by the reference counting mechanism provided in Python/C APIs for automatic reclaiming. Hence, improper refcount manipulations can lead to ...