Data Structures & Algorithms in Python: Implementing Trees & Graphs

Python    |    Beginner
  • 14 videos | 1h 25m 50s
  • Includes Assessment
  • Earns a Badge
Rating 4.6 of 80 users Rating 4.6 of 80 users (80)
Explore implementing trees and graphs in Python in this 14-video, hands-on course that contains only labs. In this course, learners will use Python 3 and Jupyter Notebooks as their IDE (integrated development environment). In the course labs, you will implement a binary search, define a binary search tree, and use code functions to work with those data structures. Next, you will implement algorithms to traverse trees, including how to perform a breadth-first traversal and depth-first traversal of the tree. Continue by examining graph data structure, and implementing different representations of graphs in Python by using an abstract class for a graph to represent graphs as both an adjacency set and an adjacency matrix. You will implement algorithms to traverse such graphs, including a breadth-first traversal and a depth-first traversal. This course then demonstrates how to run a test to check its implementation. Finally, learners observe how to implement a topological sort for a specific type of graph which is both directed as well as acyclic.

WHAT YOU WILL LEARN

  • Discover the key concepts covered in this course
    Code a function to perform a binary search on a sorted array of elements
    Define the classes and functions required to implement a binary search tree
    Create functions to perform common bst operations such as lookup and finding the minimum and maximum values
    Write a function to perform a breadth first traversal of a bst
    Code functions to perform pre-order, in-order, and post-order traversals of a bst
    Define an abstract base class for a graph implementation and a vertex class with an adjacency set
  • Implement an adjacency set representation for a graph
    Build a graph represented as an adjacency set and test out the functions defined to work with it
    Define a class to represent a graph in the form of an adjacency matrix
    Code a function to perform a breadth first traversal of a graph
    Write a function to traverse a graph in a depth first manner
    Implement a topological sort of a directed acyclic graph
    List the three different forms of depth first traversal of a binary tree and describe the topological sort algorithm for a graph

IN THIS COURSE

  • 2m 11s
  • 5m 24s
    During this video, you will learn how to code a function to perform a binary search on a sorted array of elements. FREE ACCESS
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    3.  Defining a Binary Search Tree
    8m 14s
    In this video, you will learn how to define the classes and functions required to implement a binary search tree. FREE ACCESS
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    4.  Common Operations on a BST
    7m 4s
    In this video, find out how to create functions to perform common BST operations such as lookup, finding the minimum and maximum values. FREE ACCESS
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    5.  Breadth First Traversal of a BST
    6m 12s
    In this video, find out how to write a function to perform a breadth first traversal of a binary search tree. FREE ACCESS
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    6.  Depth First Traversal of a BST
    5m 9s
    In this video, you will code functions to perform pre-order, in-order, and post-order traversals of a binary search tree. FREE ACCESS
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    7.  Graphs: The Building Blocks
    6m 51s
    Learn how to define an abstract base class for a graph implementation and a vertex class with an adjacency list. FREE ACCESS
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    8.  Graphs: The Adjacency Set Representation
    6m 24s
    In this video, learn how to implement a graph using an adjacency set representation. FREE ACCESS
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    9.  Graphs: Testing the Adjacency Set
    5m 5s
    In this video, you will build a graph represented as an adjacency set and test out the functions you have defined to work with it. FREE ACCESS
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    10.  Graphs: The Adjacency Matrix
    6m 1s
    In this video, you will learn how to create a class to represent a graph using an adjacency matrix. FREE ACCESS
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    11.  Graphs: A Breadth First Traversal
    8m 6s
    Find out how to code a function to perform a breadth-first traversal of a graph. FREE ACCESS
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    12.  Graphs: A Depth First Traversal
    6m 18s
    In this video, learn how to write a function to traverse a graph in a depth-first manner. FREE ACCESS
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    13.  Graphs: The Topological Sort
    8m
    In this video, learn how to implement a topological sort of a directed graph with no cycles. FREE ACCESS
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    14.  Exercise: Implementing Trees and Graphs in Python
    4m 52s
    After completing this video, you will be able to list the three different forms of depth first traversal of a binary tree and describe the Topological Sort algorithm for a graph. FREE ACCESS

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