Practice Profiling Python Code With Cprofile And Timeit (4) - Chapter 9: Memory Management and Performance Optimization in Python

Practice: Profiling Python Code with cProfile and timeit

Lesson 4Memory Management and Performance Optimization in Python

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8 questions

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2 cards from this section. Quick, good the night before a test.
Exercise
6 questions · about 4 min · pass mark 70%. Hints available.
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Quiz
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6 sample questions

Question 1.
What command do you use to profile a function in Python?
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Think about built-in functions for profiling.
Question 2.
What is the main purpose of the timeit module?
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Consider timing functions and snippets.
3Question 3.
What command do you use to profile a function in Python?
- import profile
- cProfile.run()
- timeit.run()
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Look for built-in profiler options.
4Question 4.
True or False: timeit can only be used on entire scripts.
- True
- False
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Consider how snippets can be executed repeatedly.
Question 5.
Create a Python script with a function that finds the factorial of a number using recursion. Profile it using cProfile and analyze the performance. Suggest optimizations.
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Focus on excessive recursive calls' performance.
Question 6.
Write Python code to compare the time taken to sum a list of numbers using both a loop and the built-in sum() function. Use timeit to measure and compare the performance.
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Measure both methods several times to see consistent results.

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