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Knowledge
The chapter introduces the concept of lists in Python, detailing their characteristics as sequences of values that can contain mixed types. It explains operations on lists such as indexing, slicing, and updating their elements in place, emphasizing the distinction between mutable and immutable types. Additionally, it covers nested lists and the implications of assignments involving mutable objects, concluding with differences in behavior between mutable and immutable data types.
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References
Chapter 7 part-A.pdfClass Notes
Memorization
What we have learnt
- Lists are sequences in Pyth...
- Lists are mutable, meaning ...
- The distinction between mut...
Final Test
Revision Tests
What we have learnt
- Lists are sequences in Python that can contain mixed data types.
- Lists are mutable, meaning their elements can be changed in place.
- The distinction between mutable and immutable types is essential for understanding variable assignments.
Key Concepts
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Term: List
Definition: A collection of items that are ordered and mutable, allowing for mixed data types.
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Term: Mutable
Definition: A type of object whose state can be modified after it's created, such as lists.
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Term: Immutable
Definition: A type of object whose state cannot be modified after it's created, such as strings.
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Term: Indexing
Definition: Accessing elements in a list using their position, with positions starting at 0.
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Term: Slicing
Definition: Extracting a subset of elements from a list using a range of indices.
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Term: Nested List
Definition: A list that contains other lists as its elements, allowing for multi-dimensional data representation.