Tables, rows, and columns concept in Intro to Computing - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to create a table with 3 columns.

Intro to Computing

table = [['Name', 'Age', [1]], ['Alice', 30, 'Engineer'], ['Bob', 25, 'Designer']]

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

AOccupation

BSalary

CCountry

DCity

Attempts:

3 left

💡 Hint

Common Mistakes

Choosing a column name that doesn't match the data in the rows.

Using a column name unrelated to the example data.

The third column header should be 'Occupation' to match the data in the rows.

2fill in blank

medium

Complete the code to access the age of the second person in the table.

Intro to Computing

age = table[[1]][1]

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A0

B1

C2

D3

Attempts:

3 left

💡 Hint

Common Mistakes

Using 0 which accesses the header row instead of data.

Using 2 which accesses the third person who does not exist.

table[1] accesses the second row (first row is headers), and [1] accesses the 'Age' column.

3fill in blank

hard

Fix the error in the code to print the job of the first person.

Intro to Computing

print(table[1][[1]])

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A2

B1

C0

D3

Attempts:

3 left

💡 Hint

Common Mistakes

Using index 3 which is out of range.

Using index 1 which is the age, not the job.

The job is in the third column, which is index 2 (0-based indexing).

4fill in blank

hard

Fill both blanks to create a new row and add it to the table.

Intro to Computing

new_row = ['Charlie', [1], [2]]
table.append(new_row)

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A28

B'Teacher'

C'Doctor'

D35

Attempts:

3 left

💡 Hint

Common Mistakes

Mixing up the order of age and occupation.

Using a string for age or a number for occupation.

The new row needs an age (28) and an occupation ('Teacher') to match the table structure.

5fill in blank

hard

Fill all three blanks to create a dictionary from the table row with keys as columns.

Intro to Computing

row_dict = {table[0][[1]]: table[1][[2]], table[0][[3]]: table[1][2]}

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A0

B1

D2

Attempts:

3 left

💡 Hint

Common Mistakes

Mixing row and column indexes.

Using the same index for both keys and values incorrectly.

The dictionary keys come from the header row (index 0), and values from the first data row (index 1). The first key-value pair uses column 0 and 1, the second uses column 2 and 2.