1. Question 1

Access only the test group measurements from:
experiment_data = ((1.5, 2.7), [3.6, 4.1])

• ✅ experiment_data[1]

• ❌ experiment_data[0]

• ❌ experiment_data[0:1]

• ❌ experiment_data[1][0]

Explanation:
Index 1 contains the test group list [3.6, 4.1].

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2. Question 2

Key difference when accessing elements in a nested tuple:

• ✅ Nested tuple structures require multiple indices to access inner elements.

• ❌ Always returns another tuple

• ❌ Need negative indices

• ❌ Use parentheses for nested indexing

Explanation:
Nested structures are accessed like: data[1][0].

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3. Question 3

What happens after cart.append(['hat', 'belt'])?

• ✅ [‘shirt’, ‘pants’, [‘hat’, ‘belt’]]

• ❌ [‘shirt’, ‘pants’, ‘hat’, ‘belt’]

• ❌ [‘hat’, ‘belt’, ‘shirt’, ‘pants’]

• ❌ [[‘hat’, ‘belt’], ‘shirt’, ‘pants’]

Explanation:
.append() adds the entire list as one item, not individually.

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4. Question 4

Effect of del on lists:

• ❌ Creates copy

• ❌ Works only on first/last elements

• ❌ Returns removed element

• ✅ Permanently modifies the original list by removing specified elements.

Explanation:
del list[index] removes items in place.

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5. Question 5

Why create proper list copies instead of direct assignment?

• ❌ Uses less memory

• ✅ Changes to a copied list do NOT affect the original; direct assignment links both lists.

• ❌ Only needed for numeric data

• ❌ Direct assignment is deprecated

Explanation:
Assignment creates an alias: b = a
Copying: b = a.copy() or b = a[:]

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6. Question 6

Result of:
("Python", "Data", "Science")[1:3]

• ❌ (“Python”, “Science”)

• ❌ [“Python”, “Data”]

• ✅ (“Data”, “Science”)

• ❌ [“Data”, “Science”]

Explanation:
Slice returns items at indices 1 and 2, in tuple form.

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7. Question 7

Values of:
{"The Bodyguard":"1992", "Saturday Night Fever":"1977"}

• ❌ “The Bodyguard” and “Saturday Night Fever”

• ❌ “1992” and “Saturday Night Fever”

• ❌ “The Bodyguard” and “1977”

• ✅ “1977” and “1992”

Explanation:
Values = release years.

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8. Question 8

How to add or update a dictionary entry?

• ✅ Use square bracket notation with the key to assign/update the value.

• ❌ insert()

• ❌ Dictionaries are immutable

• ❌ add()

Example:
my_dict['new_key'] = 'value'

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9. Question 9

Result of:
V = {'A','B'}
V.add('C')

• ❌ {‘A’,’B’}

• ❌ Error

• ❌ {‘AC’, ‘BC’}

• ✅ {‘A’,’B’,’C’}

Explanation:
Sets simply add elements if not present.

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10. Question 10

Check if ‘B456’ is authorized:

• ❌ auth_codes == ‘B456’

• ❌ auth_codes.contains(‘B456’) (not valid)

• ❌ auth_codes.find(‘B456’)

• ✅ ‘B456’ in auth_codes

Explanation:
in checks membership in a set.

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🧾 Summary Table

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