Practice Use Built-in Functions And Libraries (5.3) - Chapter 9: Memory Management and Performance Optimization in Python

Practice: Use Built-in Functions and Libraries

Lesson 5.3Memory Management and Performance Optimization in Python

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10 questions

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6 sample questions

Question 1.
What is a built-in function in Python? Give an example.
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Think about functions that don't need import.
Question 2.
Explain what NumPy is used for.
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Consider its role in data science.
3Question 3.
Which of the following is a built-in Python function?
- custom_function()
- sum()
- my_function()
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Think about which one you can use without defining it.
4Question 4.
True or False: NumPy is slower than standard Python lists.
- True
- False
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Consider the context in data handling.
Question 5.
Create a script that uses both a list comprehension and NumPy to compute squares of numbers from 0 to 999. Compare execution time and memory usage.
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Make sure to include print statements to show results.
Question 6.
Consider a dataset that requires frequent statistical analysis. Discuss and propose which libraries you'd use for efficiency and why.
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Think about speed and functionalities needed in data analysis.

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