CBSE Class 9 AI (Artificial Intelligence) | 20. LIST – Python Data Structures by Abraham | Learn Smarter
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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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Sections

  • 20

    List – Python Data Structures

    This section introduces Python lists, covering their creation, manipulation, and applications, vital for AI programming.

    Learning Practice

  • 20.1

    What Is A List?

    A list in Python is a versatile data structure that stores multiple items, allowing for easy manipulation and access.

    Learning Practice

  • 20.2

    Creating A List

    This section explains how to create lists in Python, showcasing different examples of lists along with their features.

    Learning Practice

  • 20.3

    Accessing Elements From A List

    This section explains how to access elements within a list in Python, including using positive and negative indexing.

    Learning Practice

  • 20.4

    Slicing A List

    Slicing a list in Python allows you to access a subset of elements from the list.

    Learning Practice

  • 20.5

    Modifying List Elements

    This section covers how to modify elements within a Python list, emphasizing the mutable nature of lists in Python.

    Learning Practice

  • 20.6

    Adding Elements To A List

    This section covers how to add elements to a Python list using the append() and insert() methods.

    Learning Practice

  • 20.7

    Removing Elements From A List

    This section explains the methods to remove elements from a list in Python, focusing on the remove(), pop(), and del functionalities.

    Learning Practice

  • 20.8

    Traversing A List (Looping Through A List)

    This section explains how to iterate over lists in Python using different methods.

    Learning Practice

  • 20.9

    List Functions And Methods

    This section describes essential functions and methods that can be applied to Python lists, enabling effective manipulation and retrieval of list data.

    Learning Practice

  • 20.10

    Nested Lists

    Nested lists in Python allow you to store a list within another list, enabling complex data structures like matrices.

    Learning Practice

  • 20.11

    List Comprehension (Advanced)

    List comprehension in Python provides a concise way to create lists using a clear syntax.

    Learning Practice

  • 20.12

    Applications Of List In Ai

    Lists in Python provide a flexible structure for managing and processing data essential in AI applications.

    Learning Practice

References

ch20.pdf

Class Notes

Memorization

What we have learnt

  • A list in Python is an orde...
  • Lists can store different d...
  • Python provides multiple me...

Final Test

Revision Tests