Practice Using Timeit (4.2) - Chapter 9: Memory Management and Performance Optimization in Python

Practice: Using timeit

Lesson 4.2Memory Management and Performance Optimization in Python

Practise this section

9 questions

Flashcard drill
3 cards from this section. Quick, good the night before a test.
Exercise
6 questions · about 4 min · pass mark 70%. Hints available.
Sign up to start the exercise
Quiz
3 questions · about 2 min · pass mark 70%. Hints available.
Sign up to start the quiz

6 sample questions

Question 1.
What is the primary purpose of the timeit module?
Show hintHide hint
Think about performance measuring in Python.
Question 2.
How would you use the timeit module to measure the time a simple addition takes?
Show hintHide hint
Remember the syntax involves passing a code string.
3Question 3.
What is a primary advantage of the timeit module?
- It executes only once
- It can run code multiple times for accuracy
- It is only for profiling memory
Show hintHide hint
Think about minimizing variability when testing time.
4Question 4.
Using the timeit module with a decorator keeps your code:
- True
- False
Show hintHide hint
Consider what decorators do in Python.
Question 5.
Devise a way to use the timeit module to benchmark the performance of a plain list versus a numpy array over the same operation of summing elements.
Show hintHide hint
Consider how to set up both environments in your testing.
Question 6.
Create a function that will aggregate and return execution times of different functions being measured with timeit.
Show hintHide hint
Think about using a loop to iterate function calls and aggregate the results.

5 more questions in this section. Enroll free to practise them all.