Data Structures with Python_1

Data Structures with Python, available at $19.99, has an average rating of 4.4, with 227 lectures, 30 quizzes, based on 231 reviews, and has 22570 subscribers.

You will learn about Data Structures in Python All the way from the Built-in to User defined data structures intuition with implementation Understand OOPS Concept required to build User-defined Data Structures How to solve and approach a Data-Structure Problem Understand applications of Data Structures Know and determine Time-Complexities of Operations over Data-Structures Discover methods on Data-Structures Solved problems so that its easy to start off practicing Download The Whole Code This course is ideal for individuals who are Python developers who have basics and want to crack coding interviews or Developers who want to improve python for data structures and implement them in interviews or Beginners in python who want to have data structures foundation or Students who want to start competitive programming It is particularly useful for Python developers who have basics and want to crack coding interviews or Developers who want to improve python for data structures and implement them in interviews or Beginners in python who want to have data structures foundation or Students who want to start competitive programming.

Enroll now: Data Structures with Python

Summary

Title: Data Structures with Python

Price: $19.99

Average Rating: 4.4

Number of Lectures: 227

Number of Quizzes: 30

Number of Published Lectures: 227

Number of Published Quizzes: 30

Number of Curriculum Items: 257

Number of Published Curriculum Objects: 257

Number of Practice Tests: 1

Number of Published Practice Tests: 1

Original Price: ?1,199

Quality Status: approved

Status: Live

What You Will Learn

Data Structures in Python

All the way from the Built-in to User defined data structures intuition with implementation

Understand OOPS Concept required to build User-defined Data Structures

How to solve and approach a Data-Structure Problem

Understand applications of Data Structures

Know and determine Time-Complexities of Operations over Data-Structures

Discover methods on Data-Structures

Solved problems so that its easy to start off practicing

Download The Whole Code

Who Should Attend

Python developers who have basics and want to crack coding interviews

Developers who want to improve python for data structures and implement them in interviews

Beginners in python who want to have data structures foundation

Students who want to start competitive programming

Target Audiences

Python developers who have basics and want to crack coding interviews

Developers who want to improve python for data structures and implement them in interviews

Beginners in python who want to have data structures foundation

Students who want to start competitive programming

Data structure provides the right way to organize information in the digital space. The data structure is a key component of Computer Science and is largely used in the areas of Artificial Intelligence, operating systems, graphics.

The right selection of data structure can enhance the efficiency of computer programs or algorithms in a better way.

Learn Data Structures in Python all the way from Built-in to User-Defined.

Methods on Data structuresare also covered so that we can use them efficiently.

The data structure and algorithm provide a set of techniques to the programmer for handling the data efficiently. The programmer should understand the core concepts of data handling.

Necessary OOPS is also covered so, that there won’t be a problem understanding further concepts.

It’s Beginner Friendly with intuition followed by code tutorials, So It’s Easy to Understand and Visualise a Data Structure.

So, Solving Problems would be easier after learning the Data Structure as you have better intuition.

Course Design:  Intuition of the concept + Code walkthrough in Python + Time and Space Complexity + Application of that Data Structure in real Life.

Data Structures Include:

Lists

Tuples

Sets

Dictionaries

2-D Arrays

OOP For understanding data structures

Stacks

Queues

Deque

Linked-Lists

Doubly Linked Lists

Circular Linked Lists

Trees

Binary Trees

Binary Search Trees + Traversals

AVL Trees

Heaps +  Heap sort

Priority Queue

HashMaps/HashTables

Graphs + Properties

Graph Traversals

Spanning Trees + MST

Prims + Kruskals Algorithms for MST

Tries (Keyword Trees)

Misc Section( Has important concepts )

Take Away Section( Download the whole source code in this Section)

Course Curriculum

Chapter 1: Introduction to the course

Lecture 1: What is this Course About?

Lecture 2: How to get most of it?

Chapter 2: !! DO NOT SKIP THIS !!

Lecture 1: IMPORTANT !!

Lecture 2: IMPORTANT !!

Chapter 3: Lets Dive In

Lecture 1: What is a Data Structure

Lecture 2: Types of Data Structures

Chapter 4: Preliminary Test

Chapter 5: - PART 1 BUILT IN DATA STRUCTURES

Lecture 1: Built-In Data Structures Intro

Chapter 6: Lists as Data Structure

Lecture 1: Lists Introduction

Lecture 2: Coding Up Lists

Lecture 3: Lists Methods

Chapter 7: Tuple as Data Structure

Lecture 1: Tuple Introduction

Lecture 2: Coding Up Tuples

Lecture 3: Tuple Methods

Chapter 8: Sets as Data Structure

Lecture 1: Sets Introduction

Lecture 2: Coding Up Sets

Lecture 3: Set Methods

Chapter 9: Dictionaries as Data Structure

Lecture 1: Dictionaries Introduction

Lecture 2: Coding Up Dictionaries

Lecture 3: Dictionary Methods

Chapter 10: 2-D Arrays

Lecture 1: 2-D Arrays Intuition

Lecture 2: 2-D Arrays Declaration

Lecture 3: 2-D Arrays Take Input

Lecture 4: 2-D Arrays Updation

Lecture 5: 2-D Arrays Traversing

Lecture 6: 2-D Arrays Deletion

Lecture 7: 2-D Arrays Length and slice

Chapter 11: –PART 2-OOPS

Lecture 1: What and why ?

Lecture 2: Introduction to OOPS

Lecture 3: Introduction to the Terminology

Lecture 4: Terminology Syntax

Lecture 5: Constructer in Python

Lecture 6: The Self convention

Lecture 7: Lets Dive In OOPS

Chapter 12: Time and Space Complexity

Lecture 1: Time Complexity Intuition

Lecture 2: Space Complexity Intuition

Chapter 13: Practice Test

Chapter 14: How to Read a Question ?

Lecture 1: What is this Section?

Lecture 2: Lets read a question!

Chapter 15: –PART 3–USER DEFINED DATA STRUCTURES

Lecture 1: User Defined Data Structures Intro

Chapter 16: Stacks

Lecture 1: Stacks Intro

Lecture 2: Stacks Methods

Lecture 3: Stacks Part 1

Lecture 4: Stacks Part 2

Lecture 5: Stack Application

Lecture 6: Solved problem on Stacks

Chapter 17: Queues

Lecture 1: Queues Intro

Lecture 2: Queues Part 1

Lecture 3: Queues Part 2

Lecture 4: Queues Applications

Lecture 5: Solved Question on Queues

Chapter 18: Linked Lists

Lecture 1: Linked Lists Intro

Lecture 2: Applications of Linked Lists

Lecture 3: Coding Up Linked Lists

Lecture 4: Traverse Linked Lists Intuition

Lecture 5: Traverse Linked Lists Code

Lecture 6: Adding Node In The Beginning Intuition

Lecture 7: Adding Node In The Beginning Code

Lecture 8: Adding Node In The Middle Intuition

Lecture 9: Adding Node In The Middle Code

Lecture 10: Adding Node In The End Intuition

Lecture 11: Adding Node In The End Code

Lecture 12: Delete a node intuition

Lecture 13: Delete a node code

Lecture 14: Solved a problem on Linked Lists

Lecture 15: Solution for last Vedio!!

Chapter 19: Doubly Linked Lists

Lecture 1: Doubly Linked Lists Intro

Lecture 2: Applications of Doubly Linked Lists

Lecture 3: Coding Up Doubly Linked Lists

Lecture 4: Traverse Doubly Linked Lists Code

Instructors

Neeraj Ap
Passionate Student

Rating Distribution

1 stars: 10 votes

2 stars: 10 votes

3 stars: 35 votes

4 stars: 65 votes

5 stars: 111 votes

Frequently Asked Questions

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