7. Lists - Part B
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.
Sections
Navigate through the learning materials and practice exercises.
What we have learnt
- Lists in Python are mutable sequences of values.
- Slicing a list creates a new list that is a copy of the original.
- The equality operator (==) checks for value equality, whereas the 'is' operator checks if two variables refer to the same object in memory.
Key Concepts
- -- List
- A list is a sequence of values that can contain elements of various data types, including integers, strings, and other lists.
- -- Mutable vs Immutable
- Mutable objects, like lists, can be changed in place, while immutable objects cannot be altered once created.
- -- Slicing
- Slicing refers to the creation of a new list from an existing one by specifying a start and end position.
- -- Equality Operators
- '==' checks if two values are equal, while 'is' checks if two variables point to the same memory location.
Additional Learning Materials
Supplementary resources to enhance your learning experience.