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Questions and Answers
Which of the following is true about Python lists and tuples?
Which of the following is true about Python lists and tuples?
- Lists are immutable while tuples are mutable
- Lists are mutable while tuples are immutable (correct)
- Lists and tuples are both mutable
- Lists and tuples are both immutable
What is the main difference between lists and tuples in Python?
What is the main difference between lists and tuples in Python?
- Lists are ordered while tuples are unordered
- Lists can have variable length while tuples have fixed length
- Lists are mutable while tuples are immutable (correct)
- Lists can contain duplicate elements while tuples cannot
Which of the following statements is true about accessing elements in a list or tuple in Python?
Which of the following statements is true about accessing elements in a list or tuple in Python?
- Elements in both lists and tuples cannot be accessed using indexing
- Elements in both lists and tuples can be accessed using indexing (correct)
- Elements in lists can be accessed using indexing, but elements in tuples cannot
- Elements in tuples can be accessed using indexing, but elements in lists cannot
Which of the following is true about Python lists and tuples?
Which of the following is true about Python lists and tuples?
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What is the main difference between lists and tuples in Python?
What is the main difference between lists and tuples in Python?
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Which of the following statements is true about accessing elements in a list or tuple in Python?
Which of the following statements is true about accessing elements in a list or tuple in Python?
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Study Notes
Python Lists vs. Tuples
- Lists are mutable, allowing modifications such as adding, removing, or changing elements, whereas tuples are immutable and cannot be altered after creation.
- Lists are defined using square brackets
[ ], while tuples are created using parentheses( ).
Accessing Elements
- Both lists and tuples support zero-based indexing, allowing access to elements by their position within the data structure.
- Slicing is available in both lists and tuples, enabling the extraction of a subset of elements based on specified indices.
Performance Considerations
- Tuples generally consume less memory and can be more efficient than lists, making them favorable for storing fixed collections of items.
- Lists offer more built-in methods for manipulation, making them ideal for dynamic data scenarios where frequent changes occur.
Use Cases
- Tuples are often used for heterogeneous (different types) collections, such as representing a record.
- Lists are suitable for homogeneous (similar types) collections where the order of elements may change, such as a list of student names.
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