MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch

Genre: eLearning | Language: English + .VTT | Duration: 5.5 hours | Size: 1.78 GB

Understand, Learn and Implement Data Structures in Python

What you'll learn

Learn Data Structures, Abstract Data Types and their implementation in Python

Implementation of Searching Algorithms in Python

Implementation of Stacks, Queues, Linked List, Binary Trees, Heaps and Graphs in Python

Implementation of Binary Tree Traversal Techniques in Python

Graph traversals techniques ie Depth First Search and Breadth-First Search in Python

Implementation of Sorting Algorithms in Python

Enhance Analytical Skill and efficiently use searching and sorting algorithms in real applications

Requirements

Prior knowledge of Programming any high level language

Basic knowledge of Python Programming

Description

This course will help you in better understanding of basics of Data Structures and how algorithms are implemented in high level programming language. This course consists of lectures on data structures and algorithms which covers the computer science theory + implementation of data structures in python language. This course will also help students to face interviews at the top technology companies. This course is like having personal tutors to teach you about data structures and algorithms.

There’s tons of concepts and content in this course. To begin the course:

We have a discussion of why we need data structures.

Then we move on to discuss Analysis of Algorithms ie Time and Space complexity, though the Asymptotic Notation ie Big O, Omega and Theta are taken up at the end of this course so that you do not get confused and concentrate on understanding the concepts of data structures.

We have programming environment setup to make sure you have all the software you need in order to get the hands on experience in implementing Data structures and algorithms.

Then we get to the essence of the course; algorithms and data structures. Each of the specific algorithms and data structures is divided into two sections. Theory lectures and implementation of those concepts in Python. We then move on to learn:

Recursion

Stacks, Queues, Deques

Linked List

Trees & Binary Trees

Binary Search Trees

Priority Queues and Heaps

Graphs & Graph Traversal Algorithms

Searching and Sorting algorithms

Again, each of these sections includes theory lectures covering data structures & their Abstract Data Types and/or algorithms. Plus the implementation of these topics in Python.

Who this course is for:

Students who want to have better understanding of Data Structures

Python programmers curious about Data Structures

IT Professional experimenting implementation of Data Structures in Python