Practice Optimizing Python Code for Speed and Memory Efficiency - 5 | 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 a global variable?

💡 Hint: Think about where this variable is defined.

Question 2

Easy

What is a generator in Python?

💡 Hint: Consider its memory usage benefits.

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 is the advantage of using local variables over global variables?

  • Slower execution
  • Faster execution
  • More error-prone

💡 Hint: Think about how Python searches for variable definitions.

Question 2

True or False: Generators compute values upfront and store them in memory.

  • True
  • False

💡 Hint: Consider how generators handle memory.

Solve and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Write a Python function that demonstrates the difference in memory usage between a list and a generator for generating Fibonacci numbers up to N.

💡 Hint: Use `yield` for the generator.

Question 2

Create a performance comparison script that uses timeit to evaluate the speed of a built-in function versus a manual loop for computing the sum of a list.

💡 Hint: Set up two functions and run them through `timeit`.

Challenge and get performance evaluation