tools for data science coursera week 4 quiz answers
Practice Quiz - Jupyter Notebooks and Jupyter Lab
1. What functionality is provided by the Jupyter Notebook file to Data Scientists?
- Runs the code and generates the output in a separate file
- Allows to code in only one language
- Does not allow to share the file in any format
- Allows to combine descriptive text, code blocks, and code output in a single file
2. What is the purpose of the kernel in the Jupyter Notebook?
- Exports the code to a different file
- Executes the code
- Writes the code
- Translates the code to a different language
3. What are the elements of Jupyter’s architecture?
- Kernel and client
- Server and client
- Two kernels and a server
- Two clients and a server
5. What is the purpose of Anaconda?
- Allows creating interactive visualizations
- Allows to install packages using a command line interface only
- Allows to install new packages without using a command line interface
- Allows execution of code written in any language
Graded Quiz - Jupyter Notebooks and JupyterLab
7. What is a feature of a JupyterLab?
- Allows access to a single Notebook
- Is not an open source
- Interactive control of the notebook cells and output
- Allows support of a single HTML file format
8. Which option gives the output of the current highlighted code cell in Jupyter Notebook?
- Run -> Run All Cells
- Run-> Run Selected Cells
- Run -> Render All Markdown Cells
- Edit -> Run
Shuffle Q/A 1
9. How can you switch the kernel in the Jupyter Notebook?
- From the Edit menu on top of the notebook
- By clicking on the Code option
- By clicking the top left of the notebook
- By clicking the top right of the notebook
10. Which of the following can be used to work with Jupyter Notebook?
- Notepad++
- Browser
- Explorer
- Notepad
