Practice Essential Libraries - 4 | Python for Data Science | Data Science Basic
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Essential Libraries

4 - Essential Libraries

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Practice Questions

Test your understanding with targeted questions

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.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

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.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

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.

Challenge 2 Hard

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.

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