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Data Analysis Pythondata~20 mins

Report generation (notebooks to HTML/PDF) in Data Analysis Python - Practice Problems & Coding Challenges

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Challenge - 5 Problems
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❓ Predict Output
intermediate
2:00remaining
What is the output of this nbconvert command?
Given a Jupyter notebook file named analysis.ipynb, what will be the result of running this command in the terminal?

jupyter nbconvert --to html analysis.ipynb
AConverts the notebook to a PDF file named <code>analysis.pdf</code> using LaTeX.
BRuns the notebook and saves the output cells back into <code>analysis.ipynb</code>.
CGenerates an HTML file named <code>analysis.html</code> with the notebook content rendered as a webpage.
DStarts a Jupyter server and opens <code>analysis.ipynb</code> in a browser.
Attempts:
2 left
💡 Hint
The --to option specifies the output format for nbconvert.
❓ data_output
intermediate
2:00remaining
What file is created by this nbconvert command?
You run this command:

jupyter nbconvert --to pdf report.ipynb

What is the expected output file?
AA PDF file named <code>report.pdf</code> generated from the notebook.
BAn HTML file named <code>report.html</code> generated from the notebook.
CA Python script named <code>report.py</code> extracted from the notebook.
DNo file is created; this command only checks the notebook syntax.
Attempts:
2 left
💡 Hint
The --to pdf option converts the notebook to PDF format.
🔧 Debug
advanced
2:30remaining
Why does this nbconvert PDF conversion fail?
You run:

jupyter nbconvert --to pdf data_analysis.ipynb

But get an error about missing LaTeX installation. What is the cause?
AThe system does not have a LaTeX distribution installed, which is required for PDF conversion.
BThe notebook file <code>data_analysis.ipynb</code> is corrupted and cannot be read.
CThe <code>--to pdf</code> option is deprecated and no longer supported.
DThe command requires internet connection to convert to PDF.
Attempts:
2 left
💡 Hint
PDF conversion via nbconvert uses LaTeX under the hood.
🚀 Application
advanced
3:00remaining
How to automate report generation from notebooks?
You want to automatically convert multiple Jupyter notebooks in a folder to HTML reports every day. Which approach is best?
ARename all notebooks to <code>.html</code> extension and open them in a browser.
BManually open each notebook and export to HTML using the Jupyter interface.
CUse <code>jupyter notebook</code> command with <code>--to html</code> option to start a server that auto-converts notebooks.
DWrite a Python script that uses <code>nbconvert</code> API to convert all notebooks and schedule it with a cron job.
Attempts:
2 left
💡 Hint
Automation requires scripting and scheduling.
🧠 Conceptual
expert
3:00remaining
What is a key limitation of nbconvert PDF export?
Which of these is a common limitation when converting Jupyter notebooks to PDF using nbconvert?
AThe PDF output always includes the notebook's source code hidden by default.
BComplex notebook outputs like interactive widgets or JavaScript do not render in the PDF.
CNbconvert requires an internet connection to convert notebooks to PDF.
DPDF conversion automatically removes all markdown cells.
Attempts:
2 left
💡 Hint
Think about static vs interactive content.

Practice

(1/5)
1. What is the main purpose of using jupyter nbconvert in data science?
easy
A. To convert Jupyter notebooks into HTML or PDF reports for easy sharing
B. To run Python code faster inside notebooks
C. To create new Jupyter notebooks automatically
D. To debug errors in Python code within notebooks

Solution

  1. Step 1: Understand the function of nbconvert

    jupyter nbconvert is a tool that converts notebooks into other formats like HTML or PDF.
  2. Step 2: Identify the main benefit

    Converting notebooks to HTML or PDF helps share results with people who don't use Jupyter notebooks.
  3. Final Answer:

    To convert Jupyter notebooks into HTML or PDF reports for easy sharing -> Option A
  4. Quick Check:

    nbconvert purpose = convert notebooks to shareable reports [OK]
Hint: Remember nbconvert = notebook to report file [OK]
Common Mistakes:
  • Thinking nbconvert runs code faster
  • Confusing nbconvert with notebook creation
  • Assuming nbconvert is for debugging
2. Which of the following is the correct command to convert a notebook named analysis.ipynb to an HTML file using the terminal?
easy
A. jupyter convert --to html analysis.ipynb
B. jupyter nbconvert --to html analysis.ipynb
C. nbconvert --convert html analysis.ipynb
D. jupyter nbconvert analysis.ipynb --html

Solution

  1. Step 1: Recall the correct nbconvert syntax

    The correct command uses jupyter nbconvert --to html filename.ipynb.
  2. Step 2: Match the command to options

    jupyter nbconvert --to html analysis.ipynb matches the correct syntax exactly.
  3. Final Answer:

    jupyter nbconvert --to html analysis.ipynb -> Option B
  4. Quick Check:

    Correct nbconvert syntax = jupyter nbconvert --to html analysis.ipynb [OK]
Hint: Use '--to html' right after nbconvert [OK]
Common Mistakes:
  • Using 'jupyter convert' instead of 'jupyter nbconvert'
  • Placing options in wrong order
  • Using '--html' instead of '--to html'
3. Consider this Python code snippet to convert a notebook to PDF programmatically:
import os
os.system('jupyter nbconvert --to pdf report.ipynb')

What will be the output after running this code if report.ipynb exists and conversion succeeds?
medium
A. Nothing happens; the command runs silently without output
B. The notebook report.ipynb is deleted
C. An error message about missing PDF converter appears
D. A PDF file named report.pdf is created in the current directory

Solution

  1. Step 1: Understand os.system command

    The command runs jupyter nbconvert --to pdf report.ipynb in the terminal from Python.
  2. Step 2: Know nbconvert PDF output behavior

    If the notebook exists and conversion works, a PDF file report.pdf is created in the same folder.
  3. Final Answer:

    A PDF file named report.pdf is created in the current directory -> Option D
  4. Quick Check:

    nbconvert PDF output = report.pdf file created [OK]
Hint: nbconvert creates output file with same base name [OK]
Common Mistakes:
  • Thinking the notebook file is deleted
  • Expecting no output file
  • Assuming error without checking converter installation
4. You run this command in terminal:
jupyter nbconvert --to pdf my_notebook.ipynb
but get an error saying PDF conversion failed: 'xelatex' not found.
What is the most likely fix?
medium
A. Install a LaTeX distribution like TeX Live or MiKTeX on your system
B. Rename the notebook file to have a .pdf extension
C. Run the command with --to html instead of pdf
D. Update Jupyter to the latest version

Solution

  1. Step 1: Understand the error message

    The error says xelatex is missing, which is a LaTeX tool needed for PDF conversion.
  2. Step 2: Identify the fix

    Installing a LaTeX distribution like TeX Live or MiKTeX provides xelatex and fixes the error.
  3. Final Answer:

    Install a LaTeX distribution like TeX Live or MiKTeX on your system -> Option A
  4. Quick Check:

    Missing xelatex = install LaTeX distribution [OK]
Hint: PDF needs LaTeX; install it if missing [OK]
Common Mistakes:
  • Renaming files instead of installing LaTeX
  • Switching to HTML without reason
  • Assuming Jupyter update fixes LaTeX errors
5. You want to automate generating HTML reports from multiple notebooks in a folder using Python. Which code snippet correctly converts all .ipynb files to HTML?
hard
A. import os for file in os.listdir(): os.system(f'jupyter nbconvert --to html "{file}"')
B. import os for file in os.listdir(): if file.endswith('.html'): os.system(f'jupyter nbconvert --to ipynb "{file}"')
C. import os for file in os.listdir(): if file.endswith('.ipynb'): os.system(f'jupyter nbconvert --to html "{file}"')
D. import os for file in os.listdir(): if file.endswith('.ipynb'): os.system(f'jupyter convert --to html "{file}"')

Solution

  1. Step 1: Filter files with .ipynb extension

    We want to convert only notebook files, so check if filename ends with '.ipynb'.
  2. Step 2: Use correct nbconvert command inside loop

    Use jupyter nbconvert --to html "{file}" to convert each notebook to HTML.
  3. Final Answer:

    import os for file in os.listdir(): if file.endswith('.ipynb'): os.system(f'jupyter nbconvert --to html "{file}"') -> Option C
  4. Quick Check:

    Filter .ipynb and run nbconvert to html [OK]
Hint: Check file extension before converting [OK]
Common Mistakes:
  • Trying to convert .html files instead of .ipynb
  • Missing file extension check causing errors
  • Using wrong command 'jupyter convert' instead of 'nbconvert'
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10 questions~5 mineasy hard