ALGORITHM: An Essential Dive Into Understanding Data Structure And Algorithm In Python

This guide will help you better understand the basics of Data Structures and how algorithms are implemented in Python programming language.
This guide consists of different chapters on data structures and algorithms which covers the computer science theory + implementation of data structures in python language. This guide will also help students to face interviews at the top technology companies. This guide was purposely written for Students who want to have a better understanding of Data Structures, Students who want to have a better understanding of Data Structures, Python programmers curious about Data Structures, and IT Professional experimenting with the implementation of Data Structures in Python.
Some of the concepts and content in this guide include:
Why need data structures
Analysis of Algorithms i.e., Time and Space complexity, though the Asymptotic Notation i.e., 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 a programming environment set up to make sure you have all the software you need to get the hands-on experience in implementing Data structures and algorithms.
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:
Arrays
Stacks, Queues, Deques
Linked List
Trees & Binary Trees
Binary Search Trees
Hash table
Graphs & Graph Traversal Algorithms
Searching and Sorting algorithms
Recursion
Bubble sort, Quick sort, Merge sorting, and so on
Again, each of these sections includes theory discussing covering data structures & their Abstract Data Types and/or algorithms. Plus, the implementation of these topics in Python.