Practice Pros and Cons - 3.2 | Chapter 7: Concurrency and Parallelism in Python | Python Advance
K12 Students

Academics

AI-Powered learning for Grades 8–12, aligned with major Indian and international curricula.

Professionals

Professional Courses

Industry-relevant training in Business, Technology, and Design to help professionals and graduates upskill for real-world careers.

Games

Interactive Games

Fun, engaging games to boost memory, math fluency, typing speed, and English skills—perfect for learners of all ages.

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is the main advantage of using threading?

💡 Hint: Think about situations where tasks need to wait for input or data.

Question 2

Easy

What does GIL stand for?

💡 Hint: It's a key limitation in Python threading.

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 limitation does the Global Interpreter Lock (GIL) impose?

  • True
  • False

💡 Hint: Think about how it affects multi-threading in Python.

Question 2

Which method is better for CPU-bound tasks?

  • Threading
  • Multiprocessing
  • None

💡 Hint: Consider what happens to performance in CPU-intensive scenarios.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Design a simple application that uses both threading and multiprocessing. Discuss the scenarios where each is appropriate.

💡 Hint: Consider the nature of the tasks being performed.

Question 2

Evaluate a case where using threads might lead to data corruption due to the GIL. How can you mitigate this?

💡 Hint: Think about what happens when multiple threads access shared data.

Challenge and get performance evaluation