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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What library do we use in Python for numerical operations?
💡 Hint: Think about the standard library for numerical computations.
Question 2
Easy
How would you create a NumPy array of numbers 4, 5, 6?
💡 Hint: Remember the function used to create arrays.
Practice 4 more questions and get performance evaluation
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What is the main purpose of NumPy?
💡 Hint: Think of applications in data science.
Question 2
True or False: NumPy arrays can contain mixed data types.
💡 Hint: Remember the characteristics of data storage in NumPy.
Solve 2 more questions and get performance evaluation
Push your limits with challenges.
Question 1
Given a NumPy array containing the first ten prime numbers, write a function to calculate and return the mean of these numbers.
💡 Hint: Use the same `mean()` function we discussed.
Question 2
Create a NumPy array that contains the squares of numbers between 1 and 10. Write the code to calculate their mean.
💡 Hint: Think about list comprehensions as you create the array.
Challenge and get performance evaluation