Computer Science engineering VIIth semester
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Niharika Kushwah

practical understanding of OOP'S concepts and implementation of OOP'S concepts using Python. understanding of file handling and exception handling.

Programming

English

OOP's and More Using PYTHON

Searching

Basics

Competitive Programming

Personal and Skill Development

Develop your coding skills, learn a new language or prepare for campus placements and job interviews, you can do it all with these awesome courses.

This lesson is a quick intro to  my new new course which is OOP'S AND MORE.

Lesson 1- Intorduction

This course is about the OOP'S concepts and brief description about the OOP'S concepts.

Lesson 2 What is OOP'S in PYTHON?

This lesson talk about data abstraction and data hiding.I have given some real life example and Python code for implementation of the same.

Lesson 3 Data Abstraction and Data Hiding.

This video talk about encapsulation and the Python code .

Lesson 4 Encapsulation and the Python Code

In this lesson we will talk about inheritance, Python code to understand inheritance and real life problem.

Lesson 5 Inheritance,

This lesson is about polymorphism and real life example where we use polymorphism concept.

Lesson 6 : Polymorphism

This lesson will cover method overriding in detail

Lesson 7:Method overriding

This lesson will cover questions about OOP'S

Lesson 8: QnA in OPPs

This lesson will cover questions and answers to the topic data hiding and abstraction

Lesson 9 : QnA of data hiding and abstraction

This lesson will cover QnA of Encapsulation

Lesson 10: QnA on Encapsulation

Lesson 12: Data Structures

Lesson 11: Linear List Manipulation part 1

Quant Researcher at Algorithm Trading/Computer Science NSIT/Competitive Coding

Shaksham Garg

The course is about linked list data structure. The prerequisites for the course are: Pointers; Dynamic Memory Allocation. 
The course first gives an introduction to linked list then discusses about operation that can be performed on linked list.

Data Structure and Algorithms - Linked List

This series aims to take your programming to the next level. The series focuses on aspiring programmers who aim to be better at coding.

Hackerearth Inc.

The collection begins with an indispensable searching algorithm, Binary Search and tries to get a basic understanding of where it can be used. The next two lessons solve problems for the important application of Binary Search in Competitive Programming. In these two lessons, one can Binary Search for the answer in a range of values and learn how to exploit the behavior of a variable.

Discovering Faster Methods To Search For The Answer

Shrey Sharma

This is a course which will provide you a prominent grip on Binary Search Technique, which is considered to be one of the most popular searching techniques. As Binary Search is the basis of Binary Search Tree, it becomes necessity have a clear and firm understanding of Binary Search Concepts. This course will help you develop a good understanding of Binary Search and its modifications, which will be helpful in solving Competitive Programming questions as well as in various Data Structure implementations.

Binary Search: The Smarter Way

CSE Engineer. Tech. Enthusiast. Hard Worker and Problem Solver.

Vivek Seth

This course discusses how sorting algorithms work - selecting the best algorithm for a particular task, calculating each algorithm's complexity (time and space) in order to effectively use them etc.

(Hindi) Advanced Sorting Algorithms

Student studying in VIT university, Pursuing undergrad in IT(information tech),
loves to code and teach.

Kusumanchi Vineeth

In this course, Kusumanchi Vineeth has discussed Data Structures. He has covered bubble sort, merging the sorting list, algorithm for bubble sorting, examples, advantages and disadvantages.

Bubble Sort in Data Structures

The course explains basic sorting algorithms like Bubble Sort, Insertion Sort, Selection Sort and Merge Sort - how they work, how to build algorithms using them to use in different platforms and also choosing best algorithms based on their time and space complexities.

Lessons

12 lessons • 2h 50m