Practice Chapter Summary - 6 | Python for Data Science | Data Science Basic
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Chapter Summary

6 - Chapter Summary

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Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What are the four main data types in Python?

💡 Hint: Think of the types of values you can use.

Question 2 Easy

What is the use of the NumPy library?

💡 Hint: It's essential for math calculations.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is one reason Python is popular for data science?

It's the fastest programming language
It's easy to learn
It has less community support

💡 Hint: Think about how quickly you can start using it.

Question 2

True or False: Pandas is used primarily for data visualization.

True
False

💡 Hint: Consider what each library is designed for.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

You are given a list of numbers. Write a function in Python to return the average of these numbers using NumPy.

💡 Hint: Consider how you can utilize NumPy's mean function.

Challenge 2 Hard

Using Pandas, create a DataFrame from a dictionary of student names and their scores. Then, write code to export this DataFrame to a CSV file.

💡 Hint: Remember how to structure your data and use the to_csv method.

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