Consider the following code:

things_that_burn = ['witches', 'wood', 'more witches']

What does this expression reduce to: things_that_burn[2]

Do not forget to use the correct notation! As an example. strings have 'quotes' and floats have decimal points ...

Question

Consider the following code:

things_that_burn = ['witches', 'wood', 'more witches']

What does this expression reduce to: things_that_burn[2]

Do not forget to use the correct notation! As an example. strings have 'quotes' and floats have decimal points ...

BlackTom AI · Accepted Answer

To approach this question, I’ll break down what the code is doing and how Python indexing works, then apply that to each option.
Option 1: 'witches'. This would correspond to index 0, the first element of the list. Since indexing starts at 0, referencing index 2 cannot yield the value at index 0.
Option 2: 'wood'. This would be the element at index 1, the second position in the list. The expression things_that_burn[2] does not select index 1, so this is incorrect.
Option 3: 'more witches'. This is the third element of the list, located at index 2. In Python, list indices begin at 0, so index 2 points to the third item, which matches the given expression things_that_burn[2]. Therefore this choice aligns with how list indexing works here.
Option 4: 'a newt'. There is no such string in the provided list, so this option is clearly not a match for any index of things_that_burn.
In summary, the expression things_that_burn[2] accesses the item at position three in the list, which is 'more witches'. Each remaining option either points to a different index or references a value not present in the list.

Combined CS-126 sections - (1257-4967) COMPUTER SCIENCE I (Fall 2025 M16) 002 Unit 06 - Task | Retention Quiz

Consider the following code: things_that_burn = ['witches', 'wood', 'more witches'] What does this expression reduce to: things_that_burn[2] Do not forget to use the correct notation! As an example. strings have 'quotes' and floats have decimal points ...

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