4.09 out of 5
478 reviews on Udemy

Data Structures and Algorithms In Python

Data Structures and Algorithms in Python using Data Structures Algorithms with Python Data Structures Algorithms Design
Deepali Srivastava
1,930 students enrolled
English [Auto]
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

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 using 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 with 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 Learn 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.

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11 hours on-demand video
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