20. LIST – Python Data Structures
Lists in Python are versatile data structures that can store multiple items in a single variable. They are ordered, mutable, and support various operations such as accessing, modifying, and traversing elements. This chapter covers the creation and manipulation of lists, including functions for adding and removing elements, as well as advanced topics like list comprehension and applications in AI.
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What we have learnt
- A list in Python is an ordered, mutable collection of elements.
- Lists can store different data types and allow indexing and slicing.
- Python provides multiple methods like append(), insert(), remove(), and pop() to manipulate lists.
- List comprehension offers a quick way to generate or modify lists.
- Lists are heavily used in data science and AI, especially in handling and processing structured data.
Key Concepts
- -- List
- A collection of items enclosed in square brackets, allowing storage of multiple data types.
- -- Slicing
- A method to obtain a subset from the list using range indices.
- -- List Comprehension
- A concise way to create lists based on existing lists in a single line of code.
- -- Mutable
- A property of lists allowing their contents to be changed after creation.
- -- Nested Lists
- Lists that contain other lists as elements, suitable for representing matrices or grids.
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