Jupyter Notebook best practices in Data Analysis Python - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to add a markdown cell with a title in Jupyter Notebook.

Data Analysis Python

# [1] This is a title

Drag options to blanks, or click blank then click option'

Adef

Bprint

Cimport

D#

Attempts:

3 left

💡 Hint

Common Mistakes

Using print instead of markdown syntax.

Trying to write code instead of markdown.

In Jupyter Notebook, markdown cells use # to create titles.

2fill in blank

medium

Complete the code to import pandas library in a Jupyter Notebook cell.

Data Analysis Python

[1] pandas as pd

Drag options to blanks, or click blank then click option'

Aexport

Binclude

Cimport

Drequire

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'export' or 'require' which are not Python keywords.

Forgetting to alias pandas as pd.

Use import to bring pandas into your notebook.

3fill in blank

hard

Fix the error in the code to display the first 5 rows of a DataFrame named df.

Data Analysis Python

df.[1]()

Drag options to blanks, or click blank then click option'

Ashow

Bhead

Cprint

Ddisplay

Attempts:

3 left

💡 Hint

Common Mistakes

Using print() which prints the whole DataFrame.

Using show() which is not a pandas method.

The head() method shows the first 5 rows of a DataFrame.

4fill in blank

hard

Fill both blanks to create a dictionary comprehension that maps words to their lengths only if length is greater than 3.

Data Analysis Python

{word: [1] for word in words if [2]

Drag options to blanks, or click blank then click option'

Alen(word)

Bword

Clen(word) > 3

Dword > 3

Attempts:

3 left

💡 Hint

Common Mistakes

Using the word itself as the value instead of its length.

Using the word in the condition instead of its length.

The dictionary comprehension maps each word to its length using len(word). The condition filters words with length greater than 3 using len(word) > 3.

5fill in blank

hard

Fill all three blanks to create a dictionary comprehension that maps uppercase words to their counts only if count is greater than 0.

Data Analysis Python

{ [1]: [2] for [3], [2] in data.items() if [2] > 0 }

Drag options to blanks, or click blank then click option'

Aword.upper()

Bcount

Cword

Ddata

Attempts:

3 left

💡 Hint

Common Mistakes

Using the variable 'data' as a key instead of 'word.upper()'.

Mixing up the variable names in the loop.

The comprehension maps each word in uppercase (word.upper()) to its count (count) only if the count is greater than 0. The loop unpacks word and count from data.items().

Practice

1. Why is it important to use Markdown cells in a Jupyter Notebook?

easy

A. To add titles and explanations that make the notebook easier to understand

B. To run code faster

C. To store large datasets

D. To change the notebook's theme

Solution

1. Step 1: Understand the role of Markdown cells

   Markdown cells are used to write text, titles, and explanations, not code.

2. Step 2: Identify the benefit of explanations

   Adding explanations helps others and yourself understand the notebook's purpose and steps.

3. Final Answer:

   To add titles and explanations that make the notebook easier to understand -> Option A

4. Quick Check:

   Markdown cells = explanations [OK]

Hint: Markdown = text and titles, not code [OK]

Common Mistakes:

• Thinking Markdown runs code
• Using Markdown to store data
• Ignoring explanations

2. Which of the following is the correct way to add a comment in a Python code cell in Jupyter Notebook?

easy

A. // This is a comment

B. # This is a comment

C.

D. /* This is a comment */

Solution

1. Step 1: Recall Python comment syntax

   Python uses the hash symbol (#) to start a comment.

2. Step 2: Identify correct comment style

   Only # This is a comment uses the correct Python comment syntax.

3. Final Answer:

   # This is a comment -> Option B

4. Quick Check:

   Python comments start with # [OK]

Hint: Python comments start with # [OK]

Common Mistakes:

• Using // which is for other languages
• Using HTML comment syntax
• Using C-style comments

3. Consider this Jupyter Notebook code sequence:

1. x = 5
2. y = x + 2
3. print(y)

What will be the output after running all cells from top to bottom?

medium

A. 2

B. 5

C. Error

D. 7

Solution

1. Step 1: Trace variable assignments

   x is assigned 5, then y is assigned x + 2, which is 7.

2. Step 2: Understand print output

   Printing y will output 7.

3. Final Answer:

   7 -> Option D

4. Quick Check:

   5 + 2 = 7 [OK]

Hint: Follow variable values step-by-step [OK]

Common Mistakes:

• Assuming print shows x instead of y
• Forgetting to run cells in order
• Expecting error without reason

4. You have a notebook with cells:

1. a = 10
2. print(a)
3. a = 20

If you run cells in order 1, 3, 2, what will happen?

medium

A. Prints 20

B. Prints 10

C. Error: variable a not defined

D. Prints nothing

Solution

1. Step 1: Analyze cell execution order

   Cell 1 sets a=10, cell 3 sets a=20, then cell 2 prints a.

2. Step 2: Determine printed value

   Since a was last set to 20 before printing, print(a) outputs 20.

3. Final Answer:

   Prints 20 -> Option A

4. Quick Check:

   Last assignment before print = 20 [OK]

Hint: Run cells top to bottom to avoid confusion [OK]

Common Mistakes:

• Assuming print shows old value
• Thinking print runs before assignment
• Expecting error due to order

5. You want to share a Jupyter Notebook with a colleague. Which practice ensures they see your results correctly?

hard

A. Delete all Markdown cells to reduce size

B. Only run the last cell before sharing

C. Run all cells from top to bottom before sharing

D. Share only the .py script exported from notebook

Solution

1. Step 1: Understand notebook execution state

   Running all cells top to bottom ensures outputs match code and order.

2. Step 2: Identify sharing best practice

   Sharing a fully run notebook avoids confusion and missing outputs.

3. Final Answer:

   Run all cells from top to bottom before sharing -> Option C

4. Quick Check:

   Run all cells = consistent notebook [OK]

Hint: Always run all cells before sharing [OK]

Common Mistakes:

• Sharing without running cells
• Deleting Markdown removes explanations
• Sharing only scripts loses notebook features