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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.
Solve 1 more question and get performance evaluation
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