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3. How is a new notebook created in Jupyter Notebook?

4. What is the significance of the // operator in Python?
5. Which operator is used for floor division in Python?
6. What is the role of the ‘Help’ menu in Jupyter Notebook?
7. Why is a virtual environment recommended for Python development?

8. Which tool in Anaconda is a powerful tool for integrating code, text, and graphics?
9. What does the ‘Save and Checkpoint’ toolbar icon do in Jupyter Notebook?
10. Why is Anaconda a preferred choice for scientific computing in Python?

F. Long answer type question.
1. How is Anaconda Navigator opened on a Windows system?

2. What file extension is used for Jupyter Notebook, and how can notebooks be exported to different
formats?

3. Which Python version is recommended during the Anaconda installation process, and why?
4. What role does the input() function play in Python, and how is it different from other input methods?
5. In Jupyter Notebook, which menu is used for running specific cells or all cells in the notebook?

6. Why is it recommended to use virtual environments in Python development, and how do they enhance
project organization?

7. What is the purpose of the conda activate command, and when is it used in Python development?
8. How does the ‘Widgets’ menu in Jupyter Notebook contribute to creating an interactive graphical user
interface?
9. Explain the functionality of the ‘Save and Checkpoint’ toolbar icon in Jupyter Notebook. When and why
is it useful?
G. Application based questions.

1. In what real-world scenario might one need to use the conda activate command to switch between
virtual environments?
2. How could the Anaconda Navigator be beneficial for a Python developer working on multiple projects?
3. Provide an example of a situation where the Print() function in Python could be employed to enhance
the user experience in a program.

H. Assertion and reason based questions.
1. Assertion: The ‘File’ menu in Jupyter Notebook is used for basic operations such as opening a new
document and saving.

Reason: It provides essential functionalities for managing and organizing Jupyter Notebook projects.
a. True, and the Reason is the correct explanation.
b. True, but the Reason is not the correct explanation.

c. False, and the Reason is the correct explanation.
d. False, and the Reason is not the correct explanation.

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