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If the same object is invoked multiple times in python, will the memory location always be the same when I print 'self'?
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No, they are in a different memory called “Heap Memory” (also called the Heap). To store objects, we need memory with dynamic memory allocation (i.e., size of memory and objects can change). Python interpreter actively allocates and deallocates the memory on the Heap (what C/C++ programmers should do manually!!!
In CPython, which is what most people use when they use python , all Python objects are represented by a C struct, PyObject .
Sets in python are unordered list with duplicate elements removed. In order to create a hash table from scratch, we start with some allocated memory, similar to what we started with for arrays.
Unlike many other languages, Python does not necessarily release the memory back to the Operating System. Instead, it has a dedicated object allocator for objects smaller than 512 bytes, which keeps some chunks of already allocated memory for further use in the future.
AFAIK, memory addresses in Cpython are - by design - static. The memory address of an object can be seen with id(). The name of the function is a tell-tale of the fact it doesn't change...
See however the comment below, where other SO users pointed out that id() being the memory address is a detail implementation of Cpython.
HTH!
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