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Jupyter Notebook Inteview Q&A

Q&A Top 50 in Jupyter Notebook

1. What is Jupyter Notebook?

Jupyter Notebook is an open-source web application that allows interactive computing with code, data, and visualizations.

2. What programming languages does Jupyter Notebook support?

Jupyter Notebook supports multiple programming languages, including Python, R, Julia, and more.

3. How do you install Jupyter Notebook?

You can install Jupyter Notebook using Python’s package manager, pip, by running “pip install jupyter.”

4. How do you launch Jupyter Notebook?

Use the command “jupyter notebook” in the terminal to launch the Jupyter Notebook server.

5. What are cells in Jupyter Notebook?

Cells are individual blocks where you can write code or text. There are two main types: Code and Markdown cells.

6. How do you execute code in a cell?

Press “Shift + Enter” to execute code in a cell and move to the next cell.

7. What is Markdown in Jupyter Notebook?

Markdown is a lightweight markup language used for formatting text and adding headings, lists, and other elements in Markdown cells.

8. How do you create a new cell?

Click “Insert” and choose “Insert Cell Above” or “Insert Cell Below” to create a new cell.

9. How do you delete a cell?

Select the cell and click “Edit,” then choose “Delete Cells.”

10. What is the difference between Code and Markdown cells?

Code cells are used for writing and executing code, while Markdown cells are used for documentation and text formatting.

11. Can you run Jupyter Notebook in a remote server?

Yes, you can run Jupyter Notebook on a remote server and access it through a web browser.

12. How do you export a Jupyter Notebook as HTML or PDF?

Go to “File” > “Download As” and select “HTML” or “PDF.”

13. How do you rename a Jupyter Notebook?

Click on the notebook’s name at the top and rename it.

14. How can you change the cell type from Code to Markdown?

Select the cell and choose “Cell” > “Cell Type” > “Markdown” from the menu.

15. How do you add comments in a code cell?

Use the “#” symbol to add comments in a code cell.

16. What are magic commands in Jupyter Notebook?

Magic commands are special commands that start with “%” or “%%” and perform various tasks, like timing code execution or loading external files.

17. How do you install new Python packages in Jupyter Notebook?

Use “pip install” in a code cell to install Python packages.

18. How do you display images in a Jupyter Notebook?

Use the IPython.display module to display images in a code cell.

19. What is the purpose of the “ipywidgets” library in Jupyter Notebook?

“ipywidgets” enables interactive widgets and visualizations for user interactions.

20. How can you interrupt the execution of a long-running cell?

Click the “Interrupt Kernel” button or use “Ctrl + C” in the notebook interface.

21. How do you clear output from a code cell?

Use “Cell” > “Current Outputs” > “Clear” to clear output from a code cell.

22. What is the Jupyter Notebook kernel?

The kernel is a computational engine that executes code and stores variables in memory.

23. How do you restart the Jupyter Notebook kernel?

Use “Kernel” > “Restart” to restart the kernel.

24. How do you access the Jupyter Notebook dashboard?

The Jupyter Notebook dashboard is accessible by default at “http://localhost:8888.”

25. What is the purpose of the “pandas” library in Jupyter Notebook?

“pandas” is a powerful data manipulation and analysis library for working with structured data.

26. How can you plot graphs in Jupyter Notebook?

Use the “matplotlib” or “seaborn” library to plot graphs in a code cell.

27. What is the purpose of “NumPy” in Jupyter Notebook?

NumPy” provides support for numerical operations and arrays in Python.

28. What is a Jupyter Notebook kernel error?

A kernel error occurs when the computation engine encounters an issue and stops responding.

29. How do you upgrade Jupyter Notebook to the latest version?

Use “pip install –upgrade jupyter” to upgrade Jupyter Notebook.

30. What is the purpose of “scikit-learn” in Jupyter Notebook?

“scikit-learn” is a popular library for machine learning tasks in Python.

31. How can you change the cell execution order in Jupyter Notebook?

Use “Cell” > “Move Cell Up” or “Move Cell Down” to change the cell execution order.

32. What is the difference between “print()” and “display()” in Jupyter Notebook?

“print()” is used for printing output in a code cell, while “display()” is used to render objects like data frames and images.

33. What is the Jupyter Notebook “Save and Checkpoint” feature?

“Save and Checkpoint” saves the current state of the notebook, allowing you to revert to it later if needed.

34. What is a Jupyter Notebook widget?

A widget is an interactive user interface element used to modify and visualize data in real-time.

35. How do you share a Jupyter Notebook with others?

You can share a Jupyter Notebook by saving it and providing the file to others or by using platforms like GitHub or Google Colab.

36. What is the purpose of “SciPy” in Jupyter Notebook?

“SciPy” is a library used for scientific and technical computing tasks in Python.

37. How do you add section headings in a Markdown cell?

Use “#” for the main heading and “##” or “###” for subheadings.

38. What is the difference between “Markdown” and “Raw NBConvert” cells?

“Markdown” cells are for formatted text, while “Raw NBConvert” cells are used when exporting the notebook.

39. How do you move a cell to a different location in Jupyter Notebook?

Click and drag the cell to the desired location or use “Edit” > “Move Cell Up” or “Move Cell Down.”

40. How do you install Jupyter Notebook extensions?

Use “pip install jupyter_contrib_nbextensions” to install Jupyter Notebook extensions.

41. How do you remove a Jupyter Notebook extension?

Use “pip uninstall jupyter_contrib_nbextensions” to uninstall an extension.

42. What is a Jupyter Notebook kernel language?

The kernel language is the programming language used for code execution in the notebook.

43. What is the purpose of “scipy.stats” in Jupyter Notebook?

“scipy.stats” provides statistical functions and distributions in Python.

44. How can you perform mathematical calculations in Jupyter Notebook?

Use standard Python arithmetic operators like “+,” “-,” “*”, and “/” for mathematical calculations.

45. What is a Jupyter Notebook widget event?

A widget event is an action or interaction, like button clicks or slider movements, that triggers a function in response.

46. What is the Jupyter Notebook “Convert to” feature?

“Convert to” allows you to change a cell’s type, such as converting a code cell to a Markdown cell.

47. How do you create a table in a Markdown cell?

Use “|” and “-” symbols to create a table in a Markdown cell.

48. What is the “Cell Toolbar” in Jupyter Notebook?

The Cell Toolbar provides additional cell-specific options for Markdown cells, such as adding headings or metadata.

49. What is the purpose of “SymPy” in Jupyter Notebook?

“SymPy” is a library for symbolic mathematics and algebraic calculations in Python.

50. How do you check the installed version of Jupyter Notebook?

Use “jupyter –version” in the terminal to check the installed version.