Data Structures and Algorithms in Python | 35. Sets, stacks, queues by Abraham | Learn Smarter
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35. Sets, stacks, queues

The chapter focuses on fundamental data structures in Python, including sets, stacks, and queues, highlighting their properties and applications. It emphasizes the importance of understanding how these data structures can optimize processing and manipulation of data efficiently. The chapter provides practical examples and pseudo code to demonstrate the usage of these structures in algorithm development.

Sections

  • 35.1

    Programming, Data Structure And Algorithms In Python

    This section introduces key data structures in Python, specifically sets, stacks, and queues, and their functionalities.

    Learning Practice

  • 35.2

    Sets, Stacks, Queues

    This section covers the fundamental data structures in Python: sets, stacks, and queues, and their associated operations.

    Learning Practice

  • 35.2.1

    Sets

    Sets in Python are collections of unique elements, providing a way to manage groups of items without duplicates, along with supporting mathematical operations.

    Learning Practice

  • 35.2.2

    Stacks

    This section introduces stacks as a last-in-first-out (LIFO) data structure, detailing operations for pushing and popping elements and exploring practical applications.

    Learning Practice

  • 35.2.3

    Queues

    This section introduces queues as a first-in-first-out data structure, exploring their implementation in Python and applications in problem-solving.

    Learning Practice

  • 35.3

    Manipulating Sequences

    This section explores the specialized data structures in Python for manipulating sequences, specifically focusing on sets, stacks, and queues.

    Learning Practice

  • 35.3.1

    Lists

    This section discusses specialized data structures in Python including sets, stacks, and queues.

    Learning Practice

  • 35.3.2

    Implementing Stacks

    This section covers the concept of stacks as a Last-In-First-Out (LIFO) data structure and its implementation in Python, alongside the basic operations associated with stacks.

    Learning Practice

  • 35.3.3

    Using Stacks In Backtracking

    This section discusses stacks as a key data structure in backtracking algorithms, emphasizing their last-in-first-out (LIFO) property and practical implementations in Python.

    Learning Practice

  • 35.4

    Using Queues For Exploration

    This section explores the implementation and functionality of queues, particularly in the context of exploring search spaces like grid navigation.

    Learning Practice

  • 35.4.1

    Breadth First Exploration

    This section discusses the breadth-first exploration technique in data structures, specifically using queues for systematic exploration of a search space.

    Learning Practice

  • 35.4.2

    Example Of Grid Exploration

    This section dives into essential data structures in Python, specifically sets, stacks, and queues, and illustrates their application in grid exploration with a knight's movement.

    Learning Practice

  • 35.5

    Summary

    This section covers key data structures in Python, particularly sets, stacks, and queues, their properties, operations, and applications.

    Learning Practice

References

Chapter 35.pdf

Class Notes

Memorization

What we have learnt

  • Sets are collections of uni...
  • Stacks follow a last-in, fi...
  • Queues adhere to a first-in...

Final Test

Revision Tests