Practice Profiling Python Code with cProfile and timeit - 4 | Chapter 9: Memory Management and Performance Optimization in Python | Python Advance
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Profiling Python Code with cProfile and timeit

4 - Profiling Python Code with cProfile and timeit

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Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What command do you use to profile a function in Python?

💡 Hint: Think about built-in functions for profiling.

Question 2 Easy

What is the main purpose of the timeit module?

💡 Hint: Consider timing functions and snippets.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What command do you use to profile a function in Python?

import profile
cProfile.run()
timeit.run()

💡 Hint: Look for built-in profiler options.

Question 2

True or False: timeit can only be used on entire scripts.

True
False

💡 Hint: Consider how snippets can be executed repeatedly.

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Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

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.

💡 Hint: Focus on excessive recursive calls' performance.

Challenge 2 Hard

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.

💡 Hint: Measure both methods several times to see consistent results.

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