Quiz: What is the primary architectural advantage of a NumPy ndarray over a native Python list?
NumPy ndarray stores elements of uniform dtype in contiguous memory buffers, enabling cache locality and vectorized C/Fortran SIMD execution.
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NumPy ndarray stores elements of uniform dtype in contiguous memory buffers, enabling cache locality and vectorized C/Fortran SIMD execution.
The @ operator ( np.matmul ) computes the dot/matrix product, whereas * performs element-wise multiplication.
yield turns a regular function into a generator. Each call to next() resumes execution until the next yield .
*args collects any extra positional arguments passed to a function into a tuple.
A decorator is a callable that receives a function, wraps it with additional behaviour, and returns a new callable.
== tests if two objects have equal values , whereas is tests whether both variables reference the exact same memory object .
__new__ is the static constructor that creates and returns a new object instance; __init__ then receives that instance to initialize its attributes.
copy.deepcopy() constructs a new compound object and then, recursively, inserts copies into it of the objects found in the original.