Advanced Data Structures and Algorithms in Python

Advanced Data Structures and Algorithms in Python using Data Structures/Algorithms/with Python Algorithm/Design/Analysis

This “Advanced Data Structures and Algorithms In Python” course is thoroughly detailed and uses lots of animations to help you visualize the concepts.

What you’ll learn

  • Understand various data structures and algorithms through animations.
  • Get the ability to implement different algorithms in Python.
  • Get the confidence to face programming interviews.
  • Learn theory and implementation of AVL Trees, B Trees.
  • Graph, traversal and shortest path algorithms.

Course Content

  • Start Here –> 1 lecture • 1min.
  • AVL Tree –> 11 lectures • 1hr 32min.
  • Threaded Binary Tree –> 3 lectures • 24min.
  • Expression Tree –> 3 lectures • 13min.
  • B tree –> 10 lectures • 1hr 27min.
  • Graph –> 12 lectures • 1hr 27min.
  • Traversal in Graph –> 11 lectures • 1hr 3min.
  • Shortest Paths in Graph –> 4 lectures • 24min.
  • Minimum Spanning Tree of a Graph –> 8 lectures • 36min.

Advanced Data Structures and Algorithms in Python

Requirements

  • Knowledge of Python programming.
  • Knowledge of linked list, stack, queue and binary search trees.

This “Advanced Data Structures and Algorithms In Python” course is thoroughly detailed and uses lots of animations to help you visualize the concepts.

This “Advanced Data Structures and Algorithms in Python” tutorial provides a comprehensive explanation of different types of graph and various graph algorithms. Throughout the course a step by step approach is followed to make you understand different algorithms. Through this course you can build a strong foundation and it will help you to crack Data Structures and Algorithms in Python coding interviews questions and work on projects. Good foundation on Data Structures and Algorithms in Python interview topics helps you to attempt tricky interview questions.

This Data Structures and Algorithms using Python course covers following topics with Python implementation :

Trees : AVL Tree, Threaded Binary Tree, Expression Tree, B Tree explained and implemented in Python

Graphs : Adjacency matrix, Adjacency list, Path matrix, Warshall’s Algorithm, Traversal, Breadth First Search (BFS), Depth First Search (DFS),

Dijkstra’s Shortest Path Algorithm, Prim’s Algorithm and Kruskal’s Algorithm for minimum spanning tree

The Data Structures and Algorithms with Python course is broken down into easy to assimilate short lectures and complete working programs are shown for each concept that is explained. The algorithms and examples are explained with figures and animations to simplify the learning of this complex topic.  You will see code implementation of different data structures in Python and algorithms are explained in step-wise manner.

In this Data Structures and Algorithms through Python course, Python programs are used for implementing various concepts, but you can easily code them in any other programming language like Java, C++, C#.

This Data Structures and Algorithms In Python online course on udemy will help software developers to refresh the concepts studied in Data Structures and Algorithms In Python books / pdf and also to students learning from referred books / pdf.

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