35. Sets, stacks, queues - Data Structures and Algorithms in Python
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35. Sets, stacks, queues

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.

13 sections

Sections

Navigate through the learning materials and practice exercises.

  1. 35.1
    Programming, Data Structure And Algorithms In Python

    This section introduces key data structures in Python, specifically sets,...

  2. 35.2
    Sets, Stacks, Queues

    This section covers the fundamental data structures in Python: sets, stacks,...

  3. 35.2.1

    Sets in Python are collections of unique elements, providing a way to manage...

  4. 35.2.2

    This section introduces stacks as a last-in-first-out (LIFO) data structure,...

  5. 35.2.3

    This section introduces queues as a first-in-first-out data structure,...

  6. 35.3
    Manipulating Sequences

    This section explores the specialized data structures in Python for...

  7. 35.3.1

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

  8. 35.3.2
    Implementing Stacks

    This section covers the concept of stacks as a Last-In-First-Out (LIFO) data...

  9. 35.3.3
    Using Stacks In Backtracking

    This section discusses stacks as a key data structure in backtracking...

  10. 35.4
    Using Queues For Exploration

    This section explores the implementation and functionality of queues,...

  11. 35.4.1
    Breadth First Exploration

    This section discusses the breadth-first exploration technique in data...

  12. 35.4.2
    Example Of Grid Exploration

    This section dives into essential data structures in Python, specifically...

  13. 35.5

    This section covers key data structures in Python, particularly sets,...

What we have learnt

  • Sets are collections of unique values and support basic set operations.
  • Stacks follow a last-in, first-out (LIFO) principle, useful for managing recursive function calls.
  • Queues adhere to a first-in, first-out (FIFO) principle, helpful for exploring search spaces.

Key Concepts

-- Set
A collection type in Python that contains unique values, allowing operations like union, intersection, and difference.
-- Stack
A data structure that allows adding and removing elements in a last-in, first-out order, commonly used for recursive processes.
-- Queue
A data structure that allows adding elements at one end and removing them from the other end, following a first-in, first-out order.

Additional Learning Materials

Supplementary resources to enhance your learning experience.