Practice When to Use What? - 5.5 | Chapter 7: Concurrency and Parallelism in Python | Python Advance
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When to Use What?

5.5 - When to Use What?

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Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What type of task is best suited for threading?

💡 Hint: Think about tasks that involve waiting for input or output operations.

Question 2 Easy

What does GIL stand for?

💡 Hint: It’s a term related to Python and concurrency.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is an advantage of using threading for I/O-bound tasks?

Faster execution
Utilizes multiple CPU cores
Simplifies task management

💡 Hint: Think about why concurrency is beneficial for tasks waiting for input.

Question 2

Using multiprocessing allows us to bypass which limitation of Python?

True
False

💡 Hint: Consider what limits execution in Python.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

You are tasked with developing a web scraper that fetches multiple pages at once to collect data. Would you use threads or multiprocessing, and why?

💡 Hint: Look for evidence of waiting for data rather than processing.

Challenge 2 Hard

You are designing a program that performs large scale matrix multiplications. What concurrency model would be appropriate, and how would you implement it?

💡 Hint: Assess the load on the CPU during heavy computations.

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