Practice Chapter Summary (6) - Python for Data Science

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9 questions

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Exercise
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6 sample questions

Question 1.
What are the four main data types in Python?
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Think of the types of values you can use.
Question 2.
What is the use of the NumPy library?
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It's essential for math calculations.
3Question 3.
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
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Think about how quickly you can start using it.
4Question 4.
True or False: Pandas is used primarily for data visualization.
- True
- False
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Consider what each library is designed for.
Question 5.
You are given a list of numbers. Write a function in Python to return the average of these numbers using NumPy.
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Consider how you can utilize NumPy's mean function.
Question 6.
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.
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Remember how to structure your data and use the to_csv method.

5 more questions in this section. Enroll free to practise them all.