Data Structures Algorithms In Python

Data Structures and Algorithms in Python using DSA Data Structures Algorithms Competitive Programming Leetcode FAANG DSA

Last updated 2022-01-10 | 4.2

- Understand the details of Data Structures and algorithms through animations
- Learn to write programs for different Data Structures and Algorithms in Python
- Get the confidence to face programming interviews

What you'll learn

Understand the details of Data Structures and algorithms through animations
Learn to write programs for different Data Structures and Algorithms in Python
Get the confidence to face programming interviews
Test your knowledge with over 100 Quiz questions
Learn how to analyse algorithms
Get the ability to write and trace recursive algorithms

* Requirements

* Basic knowledge of programming in Python

Description

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

Subtitles are available for the first section and Single Linked List. Closed Captioning for rest of the sections is in progress and are available as [Auto-generated].

This "Data Structures and Algorithms In Python" tutorial will help you develop a strong background in Data Structures and Algorithms. The course is broken down into easy to assimilate short lectures, and after each topic there is a quiz that can help you to test your newly acquired knowledge. The examples are explained with animations to simplify the learning of this complex topic. Complete working programs are shown for each concept that is explained.

This Data Structures and Algorithms in Python course provides a comprehensive explanation of data structures like linked lists, stacks and queues, binary search trees, heap, searching and hashing. Various sorting algorithms with implementation and analysis are included in this tutorial.

This Data Structures in Python course covers following topics with Python implementation :

Algorithm Analysis, Big O notation, Time complexity, Singly linked list, Reversing a linked list, Doubly linked list, Circular linked list, Linked list concatenation, Sorted linked list.

Stack, Queue, Circular Queue, Dequeue, Priority queue, Polish Notations, Infix to Postfix, Evaluation of Postfix, Binary Tree, Binary Search Tree, Tree Traversal (inorder, preorder, postorder, level order), Heap, Searching, Hashing

Sorting : Selection, Bubble, Insertion, Shell, Merging, Recursive Merge, Iterative Merge, Quick, Heap, Binary tree, Radix, Address calculation sort

Here is the course content-

  • Algorithm Analysis

  • Linked List

  • Stack and Queue

  • Binary Tree

  • Binary Search Tree

  • Heap

  • Sorting

  • Searching

  • Hashing

Throughout this Data Structures and Algorithms in Python course, a step by step approach is followed to make you understand different Data Structures and Algorithms. You will see code implementation of different data structures in python and algorithms are explained in step-wise manner. 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.

In this Data Structures and Algorithms Through Python In Depth course, Python programs are used for implementing various concepts, but you can easily code them in any other programming language like C++, Java or 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 book / pdf and also to students learning from referred book / pdf.

What students are saying about this course -

"Very detailed and covers a wide range of topics so far. Great content and explanations. "

"This is an excellent course. One of the best I've seen in udemy. The lecturer's use of visuals is refreshing. Her step-by-step explanations are very clear."

"The examples are really good, which further make the explaining of concept a lot easier. I would highly recommend this class to whoever has not learned any data structures before. "

"The course meets my expectations. Much of this material is review for me, but I am still learning quite a bit. Deepali's accent is hard for me to understand at first, but I got use to it fairly quickly. I try to code the examples myself while Deepali is presenting them. I am enjoying the course."

"I got the C Data Structures book by Deepali Srivastava earlier and it was a great book. So I had no doubt while purchasing this Data Structures course in Python and the course is great. Absolutely 5 star experience."

"It's a great course. I love it!"

"good explanation. good lectures"

"Properly explained each and every topic with in-depth knowledge as well as example.happy to take this course"

"The pace is about right and everything is explained clearly and concisely with relevant examples."

"Excellent stuff!!

"I have been a programmer for a few years, and have learned a lot of these concepts "on the job." But this is helping give me a much better foundation."

"Easy language. Understandable. Good use of interactive examples after every theory for explanation."

"Yes, it was more than what I've expected."

"Excellent teaching and demonstration of the material. It is more beneficial for learners to develop their own codes or at least mimic the ones described in the tutorial. I highly recommend this course for anyone interested in Data Structures and Algorithms"

"She was explaining it quite clearly"

"good explanation. good lectures"

"The instructor has selected the topics very intelligently, so that core of data structures is covered. She does not confuse you with plenty of topics. Also for a given problem the internet is full of code examples that are not very straightforward. The instructor of this course has selected the code examples that are very clear. I am discarding tens of python books in favor of her examples. I wish she finds time to give a second volume of the lessons that can cover more topics."


So what are you waiting for, click on Buy button to enroll now and start learning.

Who this course is for:

  • Programmers looking for jobs
  • Programmers wanting to write efficient code
  • Computer Science students having Data Structures as part of their curriculum
  • Non Computer science students wanting to enter IT industry

Course content

11 sections • 143 lectures

Introduction to Data Structures and Algorithms Through Python In Depth Preview 01:35

Data Structures and Algorithms Preview 02:54

Measuring Running time of Algorithms Preview 02:20

Asymptotic Analysis Preview 02:46

Big O Notation Preview 04:06

Finding Big O Preview 05:21

Tight and Loose Upper Bounds Preview 01:30

Introduction Quiz A

Big O analysis of Algorithms Preview 02:00

Finding Time Complexity Preview 03:00

Big O analysis of Algorithms: Examples Preview 11:19

Worst case, Best case and Average Case Analysis Preview 03:47

Common Complexities Preview 03:00

Abstract Data Types Preview 03:47

Introduction Quiz B

Introduction to Linked List in Python Preview 11:35

Traversing and Searching a Single Linked List Preview 07:35

Finding references in a single linked list Preview 06:24

Difference between while p is not None: and while p.link is not None: Preview 00:01

Insertion in a Single Linked List Preview 05:47

Insertion in a Single Linked List ..contd Preview 07:36

Deletion in a Single Linked List Preview 04:22

Your Review Matters! Preview 00:16

Reversing a Single Linked List Preview 02:49

Linked List Quiz A

Sorting a Linked list using Bubble Sort Preview 09:22

Merging of sorted Linked lists Preview 13:19

Sorting a Linked list using Merge Sort Preview 05:08

Finding and Removing a cycle in a Linked list Preview 12:27

Doubly linked list Preview 03:30

Insertion in a doubly linked List Preview 07:32

Deletion from doubly linked list Preview 06:20

Reversing a doubly linked list Preview 03:30

Circular linked list Preview 03:10

Insertion in a circular Linked List Preview 04:39

Deletion in a circular linked list Preview 04:13

Concatenation Preview 04:15

Linked List with Header Node Preview 05:03

Sorted linked list Preview 05:57

Linked List Quiz B

Introduction Preview 02:09

Stack Preview 01:29

Array Implementation of Stack Preview 12:13

Linked List Implementation of Stack Preview 05:41

Queue Preview 01:13

Array Implementation of Queue Preview 09:51

Circular Queue Preview 15:14

Linked List implementation of Queue Preview 05:15

Queue through Circular Linked List Preview 03:56

Deque Preview 08:56

Priority Queue Preview 03:08

Checking validity of an expression containing nested parentheses Preview 06:13

Evaluating Arithmetc Expressions Preview 03:21

Polish Notations Preview 05:56

Converting infix expression to postfix expression Preview 11:37

Evaluation of postfix expression Preview 03:25

Stack and Queue Quiz

Intoduction to trees Preview 06:01

Binary Tree Preview 06:48

Strictly Binary Tree and Extended Binary Tree Preview 05:15

Full binary tree and Complete Binary Tree Preview 04:58

Array Representation of Binary trees Preview 03:35

Linked Representation of Binary Trees Preview 01:25

Binary Tree Quiz A

Binary Tree in Python Preview 02:13

Traversal in Binary Tree Preview 02:06

Preorder Traversal Preview 05:39

Inorder Traversal Preview 05:36

Postorder Traversal Preview 05:02

Level order traversal Preview 03:30

Finding height of a Binary tree Preview 03:01

Constructing Binary tree from Traversals Preview 01:35

Constructing binary tree from inorder and preorder traversals Preview 04:23

Constructing binary tree from inorder and postorder traversals Preview 03:48

Binary Tree Quiz B

Introduction Preview 04:52

Traversal in Binary Search Tree Preview 01:54

Searching in a Binary Search Tree Preview 07:49

Nodes with Minimum and Maximum key Preview 03:19

Insertion in a Binary Search Tree Preview 08:56

Deletion in a Binary Search Tree Preview 13:55

Binary Search Tree Quiz

Introduction Preview 02:40

Heap Representation Preview 02:12

Insertion in Heap Preview 07:17

Deletion Preview 08:17

Building a Heap Preview 04:34

Heap Applications Preview 01:05

Heap Quiz

Introduction to Sorting Algorithms Preview 05:02

Sort Stability Preview 02:25

Selection Sort Preview 01:49

Selection Sort : Example Preview 01:18

Selection Sort in Python Preview 03:25

Analysis of Selection Sort Preview 02:20

Bubble Sort Preview 02:24

Bubble Sort : Example Preview 02:11

Bubble Sort in Python Preview 04:56

Improvement in Bubble Sort Preview 02:16

Analysis of Bubble Sort Preview 02:04

Sorting Quiz A

Insertion Sort Preview 02:37

Insertion Sort : Example Preview 02:22

Insertion Sort in Python Preview 03:43

Analysis of Insertion sort Preview 04:48

Shell Sort Preview 02:23

Shell Sort : Example Preview 02:07

Shell Sort in Python Preview 03:41

Analysis of Shell Sort Preview 03:29

Merging Preview 06:58

Recursive Merge Sort Preview 02:29

Recursive Merge Sort in Python Preview 03:53

Analysis of Merge Sort Preview 00:36

Iterative Merge Sort Preview 01:31

Iterative Merge Sort in Python Preview 03:17

Quick Sort Preview 06:56

Quick Sort in Python Preview 07:24

Analysis of Quick Sort Preview 03:00

Binary tree sort Preview 03:05

Binary Tree Sort in Python Preview 01:04

Analysis of Binary Tree Sort Preview 01:14

Heap Sort Preview 07:02

Heap Sort : Python Implementation and Analysis Preview 02:02

Radix Sort Preview 04:17

Radix Sort : Implementation and Analysis Preview 06:11

Sorting Quiz B

Linear Search Preview 04:53

Linear Search in Sorted List Preview 02:46

Binary Search Preview 06:04

Implementation of Binary Search Preview 13:07

Analysis of Binary Search Preview 02:55

Direct Addressing Preview 04:17

Hashing Preview 06:26

Collisions Preview 02:10

Hash Functions Preview 09:13

Open Addressing : Linear Probing Preview 10:48

Open Addressing : Quadratic Probing Preview 07:40

Open Addressing : Double Hashing Preview 09:21

Deletion in Open Addressed Tables Preview 06:15

Implementation of Open Addressing Preview 08:44

Separate Chaining Preview 06:54

Implementation of Separate Chaining Preview 03:53

Recommended Course and Offer on my other courses Preview 00:36