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30-Day Money-Back Guarantee

This course includes:

  • 34.5 hours on-demand video
  • Full lifetime access
  • Access on mobile and TV
Development Programming Languages Data Structures

Data Structures and Algorithms: In-Depth using Python

Understand, Learn and Implement Data Structures in Python
Rating: 4.3 out of 54.3 (606 ratings)
11,722 students
Created by Syed Mohiuddin
Last updated 1/2021
English
English [Auto]
30-Day Money-Back Guarantee

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

Course content

16 sections • 258 lectures • 34h 30m total length

  • Preview03:12
  • Get the most out of this course
    02:40
  • Preview02:35
  • Preview05:12
  • Abstract Data Type (ADT)
    09:17
  • Python Installation on Windows
    03:51
  • PyCharm (IDE) Installation on Windows
    05:33

  • First Python Program, Data Types and Variables
    15:13
  • Integers & Float Data Types
    02:18
  • Strings Data Types
    05:12
  • Boolean & None Data Types
    06:06
  • Arithmetic Operators & Integer Division
    09:27
  • Relational or Comparison Operators
    09:58
  • Logical Operators
    08:26
  • input() Function
    07:13
  • print() Function
    05:06
  • if, if-else and elif Statements
    22:27
  • range() Function
    05:43
  • while() & for() Loops
    19:10
  • break & continue Statements
    08:30
  • What are Lists?
    08:00
  • Using Lists and List Indexing
    05:08
  • Membership & Identity Operators
    02:19
  • What are Dictionaries?
    04:26
  • Using Dictionaries
    08:13
  • What are Functions?
    08:10
  • Writing Functions in Python?
    04:48
  • Importing Modules in Python
    07:32
  • Creating Your Own Modules
    06:37
  • Fundamentals of Object Oriented Programming
    02:49
  • Defining Classes & Creating Objects
    12:44
  • More on __init__ Method (Constructor)
    03:06
  • Understanding self Parameter
    03:11
  • Static and Local Variables
    06:49

  • Preview15:06
  • Order of Growth
    03:12
  • Preview06:37
  • Big-Oh Notation
    05:07
  • Big Omega Notation
    02:50
  • Big Theta Notation
    02:17
  • Performance Summary
    02:45
  • Space Complexity
    05:11
  • Quiz
    2 questions

  • How Recursion Works ?
    09:57
  • Iteration vs recursion lets Implement
    06:54
  • Time Complexity of Recursion - Recurrence Relation
    12:29
  • Recurrence Relation - Another example
    08:33
  • Types of Recursion - Tail and Head Recursion
    09:35
  • Types of Recursion - Tree Recursion
    23:30
  • Types of Recursion - Indirect Recursion
    03:03
  • Sum of N Natural Numbers
    07:31
  • Lets Implement Sum of N Numbers
    04:10
  • Factorial
    05:57
  • Lets Implement Factorial
    04:41

  • Preview10:05
  • Lets Implement Linear Search
    Preview05:22
  • Binary Search Iterative Algorithm
    11:18
  • Lets Implement Binary Search using Iterations
    06:30
  • Binary Search Recursive Algorithm
    06:41
  • Lets Implement Binary Search using Recursion
    07:12

  • Sorting Introduction
    02:45
  • Stable and Unstable Sorting
    03:20
  • Selection Sort - Explanation, Algorithm and Analysis
    11:32
  • Selection Sort - Implementation
    06:05
  • Insertion Sort - Explanation, Algorithm and Analysis
    14:04
  • Insertion Sort - Implementation
    05:14
  • Bubble Sort - Explanation, Algorithm and Analysis
    16:49
  • Bubble Sort - Implementation
    05:42
  • Shell Sort - Explanation, Algorithm and Analysis
    13:01
  • Shell Sort - Implementation
    06:15
  • Merge Sort
    08:28
  • Merge Sort - Algorithm
    05:40
  • Merging - Algorithm
    11:36
  • Merge Sort - Complexity Analysis
    03:38
  • Merge Sort - Implementation
    10:13
  • Quick Sort
    28:31
  • Quick Sort - Algorithm
    05:36
  • Quick Sort - Complexity Analysis
    06:43
  • Quick Sort - Implementation
    10:39
  • Count Sort - Explanation, Algorithm and Analysis
    16:21
  • Count Sort - Implementation
    07:37
  • Radix Sort - Explanation, Algorithm and Analysis
    17:57
  • Radix Sort - Implementation
    09:32
  • Python's Built-in Sorting Functions
    05:16
  • Sorting Algorithms - Summary of Complexities
    07:58

  • Preview17:09
  • Creating Node of Linked List
    12:28
  • Playing with the links of Linked List
    06:31
  • How to Create Linked List
    05:09
  • Displaying or Traversing Linked List
    08:25
  • Lets Implement Creating and Displaying Linked List
    20:48
  • Searching Element in Linked List
    07:09
  • Lets Implement Search in Linked List
    05:24
  • Insert Element at the Beginning of Linked List
    04:59
  • Lets Implement Insert Element at the Beginning of Linked List
    05:50
  • Insert Element Anywhere in between the Linked List
    09:45
  • Lets Implement Insert Element Anywhere in Between the Linked List
    06:11
  • Delete Element at Beginning of Linked List
    06:09
  • Lets Implement Delete Element at Beginning of the Linked List
    05:09
  • Delete Element at End of Linked List
    08:15
  • Lets Implement Delete Element at End of Linked List
    05:55
  • Delete Element Anywhere in between Linked List
    07:22
  • Lets Implement Delete Element Anywhere in between Linked List
    05:38
  • Circular Linked List
    05:02
  • Creating Circular Linked List
    05:54
  • Traversing Circular Linked List
    08:50
  • Lets Implement Creating and Displaying Circular Linked List
    10:54
  • Insert Element at the Beginning of Circular Linked List
    04:41
  • Lets Implement Insert Element at the Beginning of Circular Linked List
    05:02
  • Insert Element Anywhere in between the Circular Linked List
    07:53
  • Lets Implement Insert Element Anywhere in between the Circular Linked List
    05:19
  • Delete Element at Beginning of Circular Linked List
    05:13
  • Lets Implement Delete Element at Beginning of Circular Linked List
    06:37
  • Delete Element at End of Circular Linked List
    07:15
  • Lets Implement Delete Element at End of Circular Linked List
    06:23
  • Delete Element Anywhere in between Circular Linked List
    07:14
  • Lets Implement Delete Element Anywhere in between Circular Linked List
    05:10
  • Double Linked List
    01:22
  • Creating Node of Doubly Linked List
    12:53
  • Playing with links of Doubly Linked List
    08:05
  • Creating Doubly Linked List
    05:33
  • Traversing Doubly Linked List
    04:44
  • Lets Implement Creating and Displaying Doubly Linked List
    17:37
  • Insert Element at the Beginning of Doubly Linked List
    04:53
  • Lets Implement Insert Element at the Beginning of Doubly Linked List
    05:15
  • Insert Element Anywhere in between the Doubly Linked List
    08:20
  • Lets Implement Insert Element Anywhere in between the Doubly Linked List
    06:16
  • Delete Element at Beginning of Doubly Linked List
    05:31
  • Lets Implement Delete Element at Beginning of Doubly Linked List
    05:18
  • Delete Element at End of Doubly Linked List
    04:30
  • Lets Implement Delete Element at End of Doubly Linked List
    04:51
  • Delete Element Anywhere in between Doubly Linked List
    07:16
  • Lets Implement Delete Element Anywhere in between Doubly Linked List
    06:14

  • Preview10:33
  • Stacks using Arrays
    11:38
  • Lets Implement Stacks using Arrays
    12:19
  • Stacks using Linked List
    13:58
  • Lets Implement Stacks using Linked List
    15:25

  • What is Queue Data Structure ?
    07:01
  • Queues using Arrays
    10:25
  • Lets Implement Queues using Arrays
    12:04
  • Queues using Linked List
    13:28
  • Lets Implement Queues using Linked List
    15:37
  • What are Double Ended Queues (DEQue) ?
    05:10
  • Lets Implement Double Ended Queues using Arrays
    14:05
  • Lets Implement Double Ended Queues using Linked List
    09:31

  • Trees Definition and Properties
    05:54
  • Trees - Terminology
    06:33
  • Trees - Height and Levels
    03:21
  • Degree of Node and Tree
    03:43
  • Binary Trees and it's Properties
    12:46
  • Proper Binary Tree
    05:20
  • Full Binary Tree
    06:30
  • Complete Binary Tree
    07:17
  • Full Vs Complete Vs Proper Binary Tree
    07:55
  • Binary Tree Representation - Array Based
    14:43
  • Binary Tree Representation - Linked Based
    07:19
  • Traversing Binary Trees
    01:34
  • Binary Trees Traversal - Preorder
    05:33
  • Binary Trees Traversal - Inorder
    05:23
  • Binary Trees Traversal - Postorder
    05:26
  • Binary Trees Traversal - Level Order
    03:48
  • Easy way of remembering Binary Trees Traversals
    03:04
  • Creating Binary Trees
    15:37
  • Function for Preorder Traversal
    09:51
  • Function for Inorder Traversal
    09:29
  • Function for Postorder Traversal
    10:07
  • Lets Implement Creating Binary Trees
    06:00
  • Lets Implement Traversing Binary Trees
    06:02
  • Lets Create Binary Trees
    06:37
  • Lets Create Binary Trees - Another Example
    05:04
  • Function for Level Order Traversal
    08:40
  • Lets Implement Level Order Traversal
    06:49
  • Count Number of Nodes in Binary Tree
    14:10
  • Lets Implement Count Operations of Binary Tree
    03:44
  • Find Height of Binary Tree
    13:44
  • Lets Implement Height Operations of Binary Tree
    04:19

Requirements

  • Prior knowledge of Programming any high level language
  • Basic knowledge of Python Programming

Description

This course will help you in better understanding of the 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 a 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:

  1. Recursion

  2. Stacks, Queues, Deques

  3. Linked List

  4. Trees & Binary Trees

  5. Binary Search Trees

  6. Priority Queues and Heaps

  7. Graphs & Graph Traversal Algorithms

  8. 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

Featured review

Ankit Rawat
Ankit Rawat
34 courses
1 review
Rating: 4.5 out of 5a year ago
The example was good and Data structure part also great, in the i have repeated section 12 (Priority queues & Heaps) many times and it little bit difficult to understand for me. but except section 12 all sections is great with good example. Suggestion: It can be more good if you mention or describe the complexity during the example.

Instructor

Syed Mohiuddin
Professional Educator
Syed Mohiuddin
  • 4.3 Instructor Rating
  • 1,131 Reviews
  • 23,286 Students
  • 6 Courses

Welcome to my Udemy Courses, I make programming tutorials from beginner to advanced level, I focus on creating video tutorials for programmers, software developers, engineers, and analysts.

I cover topics for all skill levels, so there is something for everyone here. My focus is on Python and R programming which is applied in statistics, data analysis, data science and machine learning.

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