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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is the command to import NumPy?
💡 Hint: Look for 'numpy' in the command.
Question 2
Easy
How would you create a NumPy array from a list?
💡 Hint: Remember to use the np prefix for NumPy functions.
Practice 4 more questions and get performance evaluation
Interactive Quizzes
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What library would you use for handling data tables in Python?
- NumPy
- Pandas
- Matplotlib
💡 Hint: Think about which library focuses on data structures like DataFrames.
Question 2
True or False: NumPy is frequently used for string manipulation.
- True
- False
💡 Hint: Consider what types of operations are most common for NumPy.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Given a DataFrame with different animals and their ages, write a Python code to add a new column indicating whether each animal is 'Adult' or 'Young'.
💡 Hint: Consider how you might categorize ages using conditional statements.
Question 2
Create a NumPy array of 10 random numbers and calculate the variance. Write the code up to calculating the variance.
💡 Hint: Remember how to generate random numbers and that variance is a measure of spread in statistics.
Challenge and get performance evaluation