Data Structures and Algorithms in Python | 36. Priority queues and heaps - Part A by Abraham | Learn Smarter
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36. Priority queues and heaps - Part A

The chapter discusses the implementation of priority queues and heaps, essential data structures for managing jobs with varying priorities within a scheduling system. It introduces the concept of a priority queue, explains the operations involved, and highlights the advantages of implementing heaps for more efficient processing times. Through the exploration of heaps as binary trees, the chapter details their structural and functional properties that allow for efficient insertion and maximum deletion operations.

Sections

  • 36.1

    Priority Queues And Heaps

    This section explores priority queues and heaps, essential data structures for job scheduling based on priority rather than arrival time.

    Learning Practice

  • 36.2

    Job Scheduler

    The job scheduler manages a list of jobs with varying priorities, selecting the highest priority job for execution.

    Learning Practice

  • 36.2.1

    Operations On Priority Queue

    This section discusses how priority queues operate, focusing on their data structure, the challenges of managing job priorities, and the implementation of heaps to enhance efficiency.

    Learning Practice

  • 36.2.2

    Unsorted Vs Sorted

    This section discusses the differences between unsorted and sorted data structures, specifically in relation to priority queues.

    Learning Practice

  • 36.3

    Two Dimensional Structures

    This section discusses priority queues and heaps, emphasizing how they optimize job scheduling through structured data storage.

    Learning Practice

  • 36.3.1

    Binary Tree

    This section introduces binary trees as fundamental data structures and their significance in implementing efficient priority queues like heaps.

    Learning Practice

  • 36.3.2

    Heap As A Binary Tree

    A heap is a balanced binary tree used for implementing priority queues, enabling efficient insertion and deletion operations.

    Learning Practice

  • 36.4

    Heap Properties

    This section discusses heap properties, focusing on the importance of heaps in implementing priority queues for efficient job scheduling.

    Learning Practice

  • 36.4.1

    Structural Property

    This section discusses priority queues, heaps, and the structural properties required for efficient job scheduling in computer science.

    Learning Practice

  • 36.4.2

    Value Property

    This section introduces priority queues and heaps, detailing their structure and functionality.

    Learning Practice

  • 36.5

    Examples Of Heaps

    This section explains the concept of heaps as a special kind of priority queue that efficiently manages job priorities using a binary tree structure.

    Learning Practice

  • 36.5.1

    Correct Examples

    This section discusses priority queues and heaps, detailing their properties and applications in job scheduling.

    Learning Practice

  • 36.5.2

    Incorrect Examples

    This section introduces incorrect heap structures, emphasizing the importance of maintaining the heap's structural and value properties.

    Learning Practice

  • 36.6

    Inserting Values Into A Heap

    This section covers the concept of inserting values into a heap while maintaining the heap property, emphasizing the essential steps and properties of heaps in a binary tree structure.

    Learning Practice

  • 36.6.1

    Restoring Heap Property

    This section discusses the concept of a heap as a specific binary tree structure that maintains the heap property, which is crucial for implementing priority queues.

    Learning Practice

  • 36.7

    Adding To A Heap

    This section introduces the concept of heaps, a specific type of binary tree structure used to maintain a priority queue efficiently.

    Learning Practice

  • 36.7.1

    Balancing After Addition

    This section discusses priority queues and heaps in the context of job scheduling, focusing on their operations and properties.

    Learning Practice

References

Chapter 36 part-A.pdf

Class Notes

Memorization

What we have learnt

  • A priority queue selects jo...
  • Heaps are a special kind of...
  • The two main operations in ...

Final Test

Revision Tests