Compute the sum of numeric elements in an iterable.

Express the summation of a collection of numbers concisely.

When you need to total a collection of numbers, e.g., after reading data or during aggregation.

Data processing, loops replacement, aggregations, numerical computations.

sum(<iterable>)

sum(...)

{"numbers":"iterable of numeric values"}

• list tuple range generator numpy array

• sum(values) sum(data) sum(range(1
• 11))

Applying sum to non-numeric iterables (e.g., strings) causing TypeError Omitting the start argument when a non-zero start is needed Using sum on large lists when numpy.sum would be faster

sum vs reduce (operator.add) sum vs math.fsum for floating-point precision sum vs numpy.sum for array operations

In languages like C++ or Java, sum may require an explicit loop or library call; Python's sum is built‑in but limited to numeric types.

• sum
• sum reduction
• aggregate functions
• built-in functions

sum starts with a start value of 0; an optional start argument can change the initial value.

Concisely expresses aggregation, reducing boilerplate loop code.

Think of adding up a list of numbers.

Using itertools.accumulate for running totals or numpy.sum for efficient array summation.