Python’s rich ecosystem includes numerous built-in functions spanning diverse categories, such as mathematical computations, file management, and memory manipulations. Often overlooked, these tools offer incredible opportunities for applying polymorphism, leading to clearer, more efficient code.
Built-in functions exhibit polymorphic qualities due to their inherent flexibility regarding input parameters. Regardless of data types provided, built-ins attempt processing inputs until encountering insurmountable obstacles. This section explores five prominent examples highlighting the symbiotic relationship between built-ins and polymorphism.
sum()
Function
Summation serves as a fundamental mathematical operation. Fortunately, Python incorporates a built-in sum() function supporting various data types, including numbers, lists, generators, and even iterators.
values = range(10)
print(sum(values)) # Output: 45
squares = (x**2 for x in values)
print(sum(squares)) # Output: 285
Underneath the hood, sum() delegates addition logic to the _operator, thereby harnessing the…