Practice Use Built-in Functions and Libraries - 5.3 | Chapter 9: Memory Management and Performance Optimization in Python | Python Advance
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Use Built-in Functions and Libraries

5.3 - Use Built-in Functions and Libraries

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Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is a built-in function in Python? Give an example.

💡 Hint: Think about functions that don't need import.

Question 2 Easy

Explain what NumPy is used for.

💡 Hint: Consider its role in data science.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

Which of the following is a built-in Python function?

custom_function()
sum()
my_function()

💡 Hint: Think about which one you can use without defining it.

Question 2

True or False: NumPy is slower than standard Python lists.

True
False

💡 Hint: Consider the context in data handling.

2 more questions available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

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.

💡 Hint: Make sure to include print statements to show results.

Challenge 2 Hard

Consider a dataset that requires frequent statistical analysis. Discuss and propose which libraries you'd use for efficiency and why.

💡 Hint: Think about speed and functionalities needed in data analysis.

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