Jupyter Notebook setup and usage in Data Analysis Python - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to start Jupyter Notebook from the command line.

Data Analysis Python

jupyter [1]

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

Arun

Bstart

Cnotebook

Dopen

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'run' or 'start' instead of 'notebook'.

Trying to open Jupyter Notebook without the correct command.

To start Jupyter Notebook, you use the command jupyter notebook.

2fill in blank

medium

Complete the code to create a new cell in Jupyter Notebook using keyboard shortcuts.

Data Analysis Python

Press [1] to create a new cell below the current one.

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

ACtrl + Enter

BB

CA

DShift + Enter

Attempts:

3 left

💡 Hint

Common Mistakes

Pressing 'A' creates a cell above, not below.

Using Shift + Enter runs the cell, not create a new one.

Pressing B in command mode creates a new cell below the current cell.

3fill in blank

hard

Fix the error in the code to import pandas in a Jupyter Notebook cell.

Data Analysis Python

import [1] as pd

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

Anumpy

Bpanadas

Cpd

Dpandas

Attempts:

3 left

💡 Hint

Common Mistakes

Misspelling 'pandas' as 'panadas'.

Trying to import 'pd' directly.

The correct library name is pandas. Typo like 'panadas' causes import error.

4fill in blank

hard

Fill both blanks to create a dictionary comprehension that maps words to their lengths for words longer than 3 characters.

Data Analysis Python

lengths = {word: [1] for word in words if len(word) [2] 3}

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

Alen(word)

B<=

C>

Dword

Attempts:

3 left

💡 Hint

Common Mistakes

Using '<=' instead of '>' in the condition.

Mapping word to word instead of word to length.

The dictionary maps each word to its length using len(word). The condition filters words longer than 3 characters using >.

5fill in blank

hard

Fill all three blanks to create a dictionary comprehension that maps uppercase words to their lengths for words with length greater than 4.

Data Analysis Python

result = [1]: [2] for w in words if len(w) [3] 4

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

Aw.upper()

Blen(w)

C>

Dw.lower()

Attempts:

3 left

💡 Hint

Common Mistakes

Using w.lower() instead of w.upper() for keys.

Using '<' instead of '>' in the condition.

The dictionary keys are uppercase words using w.upper(). Values are lengths with len(w). The condition filters words longer than 4 characters using >.