What are the differences between NumPy arrays and Python lists?
The question is about Python Numpy .
A NumPy array stores same-type elements in one contiguous block of memory, while a Python list stores pointers to separate Python objects scattered across memory. That's why a plain Python integer costs around 28 bytes as an object plus an 8-byte pointer inside the list, while the same integer packed into a NumPy int64 array costs just 8 bytes with one small fixed overhead for the whole array.
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