Practice Optimizing Python Code For Speed And Memory Efficiency (5) - Chapter 9: Memory Management and Performance Optimization in Python

Practice: Optimizing Python Code for Speed and Memory Efficiency

Lesson 5Memory Management and Performance Optimization in Python

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8 questions

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2 cards from this section. Quick, good the night before a test.
Exercise
6 questions · about 4 min · pass mark 70%. Hints available.
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Quiz
2 questions · about 1 min · pass mark 70%. Hints available.
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6 sample questions

Question 1.
What is a global variable?
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Think about where this variable is defined.
Question 2.
What is a generator in Python?
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Consider its memory usage benefits.
3Question 3.
What is the advantage of using local variables over global variables?
- Slower execution
- Faster execution
- More error-prone
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Think about how Python searches for variable definitions.
4Question 4.
True or False: Generators compute values upfront and store them in memory.
- True
- False
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Consider how generators handle memory.
Question 5.
Write a Python function that demonstrates the difference in memory usage between a list and a generator for generating Fibonacci numbers up to N.
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Use `yield` for the generator.
Question 6.
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.
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Set up two functions and run them through `timeit`.

4 more questions in this section. Enroll free to practise them all.