Data Structures & Algorithms in Python: Implementing Data Structures

Python 3.7    |    Beginner
  • 13 Videos | 1h 35m 6s
  • Includes Assessment
  • Earns a Badge
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Examine operations that have different values of time complexity and delve into implementation of basic data structures, such as linked lists, stacks, and queues in Python, in this 13-video course. Key concepts covered here include operations that run in constant time regardless of input; code whose time complexity varies directly with value of input; and tasks whose time complexity varies linearly with size of input. Next, you will learn about operations whose time complexity varies as the square of input size; how to use native queue class of Python and perform standard queue operations; and how to code a queue class for many standard queue operations, such as enqueue and dequeue. Then, learn how a Python list can be used as a stack by loading and unloading elements, and how to implement a custom stack class for common stack operations. Finally, study code functions to perform search and delete operations in linked lists and reverse the ordering of its nodes; and create a linked list and test out various operations that have been defined.

WHAT YOU WILL LEARN

  • discover the key concepts covered in this course
    identify operations that run in constant time regardless of input
    recognize code whose time complexity varies directly with the value of the input
    identify tasks whose time complexity varies linearly with the size of the input
    recognize operations whose time complexity varies as the square of the input size
    use the native Queue class of Python and perform the standard queue operations on it
    code a bespoke Queue class that includes definitions for many of the standard queue operations, such as enqueue and dequeue
  • recognize how a Python list can be used as a stack by loading and unloading elements from the same end
    implement a custom Stack class that includes functions for the common stack operations
    define a Linked List class and implement functions to insert a node at the head or the tail of the linked list
    code functions to perform search and delete operations in a linked list and to reverse the ordering of its nodes
    instantiate a Linked List and test out the various operations that have been defined
    summarize common operations on stacks and their time complexities, and list the situations when adding to or removing elements from a stack or queue can throw exceptions

IN THIS COURSE

  • Playable
    1. 
    Course Overview
    2m 11s
    UP NEXT
  • Playable
    2. 
    O(1) Operations
    9m 26s
  • Locked
    3. 
    O(n) Operations - Part 1
    7m 50s
  • Locked
    4. 
    O(n) Operations - Part 2
    7m 41s
  • Locked
    5. 
    O(n*n) Operations
    8m 36s
  • Locked
    6. 
    Python's Built-in Queue
    6m 31s
  • Locked
    7. 
    Defining a Custom Queue
    7m 9s
  • Locked
    8. 
    Use a Python List as a Stack
    3m 59s
  • Locked
    9. 
    Defining a Custom Stack
    6m 9s
  • Locked
    10. 
    Linked Lists: Defining Insert Operations
    8m
  • Locked
    11. 
    Linked Lists: Search, Delete, and Reverse Operations
    9m 2s
  • Locked
    12. 
    Linked Lists: Testing the Functions
    8m 37s
  • Locked
    13. 
    Exercise: Implementing Data Structures in Python
    4m 26s

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