3 - Multiprocessing: When and How to Use It
Enroll to start learning
You’ve not yet enrolled in this course. Please enroll for free to listen to audio lessons, classroom podcasts and take practice test.
Practice Questions
Test your understanding with targeted questions
What is multiprocessing in Python?
💡 Hint: Think about how it allows tasks to run in parallel.
What does the GIL stand for?
💡 Hint: Remember, it limits threading capabilities.
4 more questions available
Interactive Quizzes
Quick quizzes to reinforce your learning
What does the multiprocessing module allow you to do in Python?
💡 Hint: Focus on how different processes can operate simultaneously.
True or False: Multiprocessing is limited by the GIL.
💡 Hint: Think about how processes are handled in terms of memory.
2 more questions available
Challenge Problems
Push your limits with advanced challenges
You need to process a large dataset that requires extensive calculation for each entry. Write a Python script that utilizes multiprocessing to handle this task efficiently.
💡 Hint: Consider how to use Pool for handling a collection of data.
Discuss the implications of serialization when communicating between processes in Python and how it can affect performance.
💡 Hint: Think about how data is passed along in multiprocessing.
Get performance evaluation
Reference links
Supplementary resources to enhance your learning experience.