Python memory management consists of a private stack holding all Python objects and data structures. The Python memory manager is responsible for the supervision of this private stack. The Python memory manager is made up of many modules that deal with the different elements of dynamic data storage, such as sharing, segmentation, preallocation, and caching.
At the most basic level, a raw memory allocator guarantees that there has been adequate space in the private heap for all Python-related data by communicating with the operating system’s memory management. In addition to the raw memory allocator, numerous entity allocators run on the same heap and apply separate memory management strategies according to the unique characteristics of each object type. Integer objects, for example, are maintained differently within the heap than strings and tuples.
- Python memory is managed by Python private heap space. All Python objects and data structures are located in a private heap. The programmer does not have an access to this private heap and interpreter takes care of this Python private heap.
- The allocation of Python heap space for Python objects is done by Python memory manager. The core API gives access to some tools for the programmer to code.
- Python also have an inbuilt garbage collector, which recycle all the unused memory and frees the memory and makes it available to the heap space.