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

Test your understanding with targeted questions related to the topic.

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.

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 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.

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Challenge Problems

Push your limits with challenges.

Question 1

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.

Question 2

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.

Challenge and get performance evaluation