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The chapter explores the concept of lists in Python, emphasizing their mutable nature and the importance of understanding how assignments affect list behavior. Key operations such as slicing and concatenation are introduced, alongside explanations of equality and reference checking using '==' and 'is'. The chapter concludes by reiterating the distinction between mutable and immutable types in Python, highlighting the implications for variable assignments and data manipulation.
References
Chapter 7 part-B.pdfClass Notes
Memorization
What we have learnt
Final Test
Revision Tests
Term: List
Definition: A list is a sequence of values that can contain elements of various data types, including integers, strings, and other lists.
Term: Mutable vs Immutable
Definition: Mutable objects, like lists, can be changed in place, while immutable objects cannot be altered once created.
Term: Slicing
Definition: Slicing refers to the creation of a new list from an existing one by specifying a start and end position.
Term: Equality Operators
Definition: '==' checks if two values are equal, while 'is' checks if two variables point to the same memory location.