Free Introduction to Python for Data Science Questions and Answers

Question 1

What command will enable you to obtain a stack trace while using the interactive Python debugger?

Accepted Answer

Where

Answer

Explanation:
The command at the interactive Python debugger prompt that helps you in getting a stack trace while debugging a Python program is where or w.

Question 2

Choosing the incorrect command to create and reshape a 60-integer array when the NumPy package has been imported as an object with the name np

Accepted Answer

myArray=np.arrange(60).reshape(8,7)

Answer

Explanation:
The command myArray = np.arrange(60).reshape(8,7) is not a valid command for creating and reshaping a 60-integer array using NumPy.

Question 3

Which activity does not fall under the data science lifecycle's Dissemination phase?

Accepted Answer

Creating and managing analysis scripts

Answer

Explanation:
Creating and managing analysis scripts is not typically included in the Dissemination phase of the data science lifecycle.

Question 4

What kind of data can be used to satisfy the needs of an application that has datasets that are not suited for an RDBMS yet require order and hierarchy

Accepted Answer

Semi-structured

Answer

Explanation:
Semi-structured data is suitable to address the requirement for an application having datasets that are not suitable for a Relational Database Management System (RDBMS) but still require order and hierarchy.

Question 5

What does Python's "capture" cell magic command not support?

Accepted Answer

It cannot be used to capture graphical cell output

Answer

Explanation:
The statement "It cannot be used to capture graphical cell output" is invalid regarding the "capture" cell magic command in Python.

Data Science with Python Certification Practice Test

Data Science with Python Certification Practice Test

Free Introduction to Python for Data Science Questions and Answers