Jupyter Notebook setup and usage in Data Analysis Python - Mini Project: Build & Apply

Jupyter Notebook Setup and Usage

📖 Scenario: You have just installed Jupyter Notebook to explore data science interactively. You want to create a simple notebook to practice basic Python commands and see how outputs appear immediately.

🎯 Goal: Learn how to create variables, run simple Python code, and display outputs inside a Jupyter Notebook environment.

📋 What You'll Learn

Create a variable with a specific value

Create a helper variable for configuration

Use a simple Python operation

Display the result using a print statement

💡 Why This Matters

🌍 Real World

Data scientists use Jupyter Notebooks to write and test code quickly, explore data, and share results with others.

💼 Career

Knowing how to use Jupyter Notebook is essential for data analysis, machine learning, and reporting in many data science roles.

1

Create a variable in Jupyter Notebook

Create a variable called number and set it to 10 in a Jupyter Notebook cell.

Data Analysis Python

# Create a variable called number and set it to 10
# Your code here

Hint

Type number = 10 in a cell and run it by pressing Shift + Enter.

2

Add a helper variable for configuration

Create a variable called multiplier and set it to 5 in the next cell.

Data Analysis Python

# Create a variable called multiplier and set it to 5
# Your code here

Hint

Just like before, assign 5 to multiplier and run the cell.

3

Calculate a new value using the variables

Create a variable called result that multiplies number by multiplier.

Data Analysis Python

# Create a variable called result that multiplies number by multiplier
# Your code here

Hint

Use the * operator to multiply number and multiplier.

4

Display the result in the notebook

Use print(result) to display the value of result in the output cell.

Data Analysis Python

# Print the result
# Your code here

Hint

Type print(result) and run the cell to see the output.

Practice

1. What is the main purpose of using a Jupyter Notebook in data science?

easy

A. To compile large software projects

B. To write and run code step-by-step with explanations

C. To create websites with HTML and CSS

D. To manage databases and run SQL queries

Solution

1. Step 1: Understand Jupyter Notebook's role

   Jupyter Notebook allows running code in small pieces, making it easy to test and explain.

2. Step 2: Compare with other options

   Options A, B, and D describe other tools or tasks not related to Jupyter Notebook's main use.

3. Final Answer:

   To write and run code step-by-step with explanations -> Option B

4. Quick Check:

   Jupyter Notebook = step-by-step code and explanations [OK]

Hint: Remember: Jupyter mixes code and notes for easy learning [OK]

Common Mistakes:

• Confusing Jupyter with web development tools
• Thinking Jupyter compiles code like an IDE
• Assuming Jupyter manages databases directly

2. Which of the following is the correct way to start a Jupyter Notebook from the command line?

easy

A. jupyter notebook

B. start notebook

C. run jupyter

D. open notebook

Solution

1. Step 1: Recall the command to launch Jupyter

   The official command to start Jupyter Notebook is jupyter notebook.

2. Step 2: Check other options

   Options B, C, and D are not valid commands and will cause errors.

3. Final Answer:

   jupyter notebook -> Option A

4. Quick Check:

   Start Jupyter with 'jupyter notebook' command [OK]

Hint: Use 'jupyter notebook' exactly to launch [OK]

Common Mistakes:

• Typing incomplete or incorrect commands
• Using 'run' or 'open' instead of 'jupyter notebook'
• Confusing with other software commands

3. Consider this Jupyter Notebook cell code:

for i in range(3):
    print(i)

What will be the output when you run this cell?

medium

A. Error: Indentation required

B. 0 1 2

C. [0, 1, 2]

D. 0
1
2

Solution

1. Step 1: Understand the loop and print behavior

   The loop runs for i = 0, 1, 2. Each print outputs i on a new line.

2. Step 2: Determine output format

   Print statements in Python output each value on a separate line, so output is '0\n1\n2'.

3. Final Answer:

   0\n1\n2 -> Option D

4. Quick Check:

   Print in loop outputs each value on new line [OK]

Hint: Remember print adds a new line after each call [OK]

Common Mistakes:

• Thinking print outputs values on the same line
• Confusing list output with print output
• Assuming syntax error due to indentation

4. You run this code in a Jupyter Notebook cell:

for i in range(3)
    print(i)

What is the error and how do you fix it?

medium

A. SyntaxError: Missing colon after for loop; add ':' after range(3)

B. IndentationError: Indent print less

C. NameError: 'i' is not defined

D. No error; code runs fine

Solution

1. Step 1: Identify syntax error in for loop

   The for loop is missing a colon ':' at the end of the line, which is required in Python.

2. Step 2: Fix the syntax by adding colon

   Adding ':' after range(3) fixes the syntax and allows the code to run.

3. Final Answer:

   SyntaxError: Missing colon after for loop; add ':' after range(3) -> Option A

4. Quick Check:

   For loops need ':' at end [OK]

Hint: Always put ':' after for loops and if statements [OK]

Common Mistakes:

• Forgetting colon at end of for loop
• Misunderstanding indentation errors
• Assuming variable 'i' is undefined

5. You want to share your Jupyter Notebook with a friend who does not have Python installed. Which option lets your friend view your notebook easily?

hard

A. Print the notebook and mail the paper copy

B. Send the .ipynb file and ask them to install Python

C. Export the notebook as HTML and send the file

D. Convert notebook to .exe file and send

Solution

1. Step 1: Understand sharing options for Jupyter Notebooks

   Exporting as HTML creates a file that can be opened in any web browser without Python.

2. Step 2: Evaluate other options

   A is impractical for interactive content, B requires Python installation, C is not a standard conversion.

3. Final Answer:

   Export the notebook as HTML and send the file -> Option C

4. Quick Check:

   HTML export = easy sharing without Python [OK]

Hint: Export as HTML to share without Python installed [OK]

Common Mistakes:

• Assuming .ipynb files open without Python
• Trying to convert notebook to executable
• Ignoring interactive features by printing