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Knowledge
Lists in Python are mutable collections that can contain items of different data types. This chapter covers how to create lists, access and modify elements, utilize various list methods, and work with nested lists. Iteration over lists using loops is also demonstrated, providing an understanding of how to manipulate list data effectively.
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Sections
References
_Lists in Python.pdfClass Notes
Memorization
What we have learnt
- Lists are ordered and mutab...
- Indexing allows access to e...
- Looping through lists can b...
Final Test
Revision Tests
What we have learnt
- Lists are ordered and mutable collections that can hold items of any data type.
- Indexing allows access to elements, while methods exist for updating and deleting items.
- Looping through lists can be done using both for and while loops.
Key Concepts
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Term: List
Definition: An ordered, changeable collection of items in Python, which can contain elements of any data type.
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Term: Indexing
Definition: The method of accessing elements in a list using their position, starting from 0 for the first element.
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Term: List Methods
Definition: Functions that can be called on lists, like 'append()', 'remove()', and 'pop()', to manipulate list contents.
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Term: Nested Lists
Definition: Lists that contain other lists, allowing the representation of multi-dimensional data such as matrices.