Practice Summary And Best Practices (7) - Chapter 9: Memory Management and Performance Optimization in Python

Practice: Summary and Best Practices

Lesson 7Memory Management and Performance Optimization in Python

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8 questions

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Exercise
6 questions · about 4 min · pass mark 70%. Hints available.
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Quiz
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6 sample questions

Question 1.
What is a generator in Python?
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Think about how it generates values one at a time.
Question 2.
Name one advantage of using NumPy arrays over standard Python lists.
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Consider how operations are performed.
3Question 3.
What is the primary purpose of using generators in Python?
- To generate infinite sequences
- To save memory by yielding values one at a time
- To speed up function execution
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Think about their function in terms of memory usage.
4Question 4.
True or False: Profiling should be done after optimizing code.
- True
- False
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Consider the order of operations in performance enhancement.
Question 5.
You are given a list of integers. Write a generator function to yield the squared values of these integers and demonstrate its use with a loop.
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Think about how to create a generator function.
Question 6.
Create a Python script that profiles a function simulating a long-running computation. Analyze which part takes the most time.
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Use `cProfile.run()` to see the bottleneck in your simulated function.

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