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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is the main advantage of using NumPy over a standard Python list?
π‘ Hint: Think about efficiency in calculations.
Question 2
Easy
What does the @profile
decorator do?
π‘ Hint: Remember, it's related to memory diagnostics.
Practice 4 more questions and get performance evaluation
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What library is preferred for numerical operations due to its speed?
π‘ Hint: Recall which library specializes in numerical calculations.
Question 2
Can Cython be used for debugging?
π‘ Hint: Focus on the purpose of Cython.
Solve 2 more questions and get performance evaluation
Push your limits with challenges.
Question 1
Create a NumPy solution to generate an array of 10 million random integers and compute the sum of all elements. Show how it compares to using a standard Python list.
π‘ Hint: Use numpy for speed vs. the loop.
Question 2
Write a Cython function to calculate the factorial of a number and compare its performance with a standard Python function.
π‘ Hint: Focus on the factorial logic and ensure correct Cython syntax.
Challenge and get performance evaluation