Data Structures & Algorithms in Python: Implementing Data Structures

Python    |    Beginner
  • 13 videos | 1h 29m 36s
  • Includes Assessment
  • Earns a Badge
Rating 4.4 of 226 users Rating 4.4 of 226 users (226)
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

  • 2m 11s
  • 9m 26s
    Find out how to identify operations that run in constant time regardless of the size of the input. FREE ACCESS
  • Locked
    3.  O(n) Operations - Part 1
    7m 50s
    Upon completion of this video, you will be able to recognize code whose time complexity varies directly with the size of the input. FREE ACCESS
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    4.  O(n) Operations - Part 2
    7m 41s
    In this video, learn how to identify tasks whose time complexity varies linearly with the size of the input. FREE ACCESS
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    5.  O(n*n) Operations
    8m 36s
    After completing this video, you will be able to recognize operations whose time complexity varies as the square of the input size. FREE ACCESS
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    6.  Python's Built-in Queue
    6m 31s
    During this video, you will learn how to use the native Queue class of Python and perform the standard queue operations on it. FREE ACCESS
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    7.  Defining a Custom Queue
    7m 9s
    Find out how to code a bespoke Queue class that includes definitions for many of the standard queue operations, such as enqueue() and dequeue(). FREE ACCESS
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    8.  Use a Python List as a Stack
    3m 59s
    Upon completion of this video, you will be able to recognize how a Python list can be used as a stack by loading and unloading elements from the same end. FREE ACCESS
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    9.  Defining a Custom Stack
    6m 9s
    Learn how to implement a custom Stack class that includes functions for the common stack operations: push, pop, peek, and isEmpty. FREE ACCESS
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    10.  Linked Lists: Defining Insert Operations
    8m
    Learn how to define a Linked List class and implement functions to insert a node at the head or the tail of the linked list. FREE ACCESS
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    11.  Linked Lists: Search, Delete, and Reverse Operations
    9m 2s
    Find out how to code functions to perform search and delete operations in a linked list and to reverse the ordering of its nodes. FREE ACCESS
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    12.  Linked Lists: Testing the Functions
    8m 37s
    Find out how to create a Linked List and test out the various operations that have been defined. FREE ACCESS
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    13.  Exercise: Implementing Data Structures in Python
    4m 26s
    In this video, you will learn how to 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 cause exceptions. FREE ACCESS

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