Practice Using Built-in Tools and Third-party Libraries - 6 | Chapter 9: Memory Management and Performance Optimization in Python | Python Advance
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Practice Questions

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?

💡 Hint: Think about efficiency in calculations.

Question 2

Easy

What does the @profile decorator do?

💡 Hint: Remember, it's related to memory diagnostics.

Practice 4 more questions and get performance evaluation

Interactive Quizzes

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?

  • NumPy
  • Pandas
  • Matplotlib

💡 Hint: Recall which library specializes in numerical calculations.

Question 2

Can Cython be used for debugging?

  • True
  • False

💡 Hint: Focus on the purpose of Cython.

Solve 2 more questions and get performance evaluation

Challenge Problems

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.

💡 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.

💡 Hint: Focus on the factorial logic and ensure correct Cython syntax.

Challenge and get performance evaluation