Which tool is best for quick micro-benchmarks in pure Python?

Problem Statement

Explanation

timeit runs a statement many times and reports stable timing by reducing noise. It is ideal for comparing small code snippets. For finding hot functions in a program, use cProfile. For memory tracking, use tracemalloc.

Code Solution

SolutionRead Only

import timeit
print(timeit.timeit('sum(range(1000))', number=1000))

Practice Sets

This question appears in the following practice sets:

Memory, Copying & Performance

Next Question

Master Interviews
Anywhere, Anytime

Which tool is best for quick micro-benchmarks in pure Python?

Problem Statement

Explanation

Code Solution

Practice Sets

Related Questions

Is Python compiled, interpreted, or both?

Which of these joins two lists to make one new list?

Which loop runs until a condition becomes false?

Which method gives the floor value of a float?

In Python, what is the difference between '/' and '//'?

More from Python

Master Interviews Anywhere, Anytime

Which tool is best for quick micro-benchmarks in pure Python?

Problem Statement

Explanation

Code Solution

Practice Sets

Related Questions

Is Python compiled, interpreted, or both?

Which of these joins two lists to make one new list?

Which loop runs until a condition becomes false?

Which method gives the floor value of a float?

In Python, what is the difference between '/' and '//'?

More from Python

Master Interviews
Anywhere, Anytime