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JNTUK R16 I-II SEM LAB MANUALS
Object Oriented Programming Lab
OTHER USEFUL BLOGS
Jntu Kakinada R16 Other Branch Materials Download
C Supporting By Govardhan Bhavani
I am Btech CSE By A.S Rao
RVS Solutions By Venkata Subbaiah
C Supporting Programming By T.V Nagaraju

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    I am Venkata Ramanjaneyulu Koppola now pursuing B.Tech Final Year in Computer Science & Engineering from Rise Krishna Sai Gandhi Group Of Institutions-Vallur, Ongole:: Andrapradesh affiliated to JNTU-Kakinada University. Kvrsoftwares.blogspot.com is my first Blogger and I and my friends developed polytechnic college website. I hope this blogger is very useful to all. Please share this blog to your friends....!

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                                                                       TOP TECHNOLOGIES........!!

    Paris

    Artificial Intelligence

    ♦AI is the simulation of human intelligence processes by machines, especially computer systems.
    ♦These processes include learning (the acquisition of information and rules for using the information), reasoning (using rules to reach approximate or definite conclusions) and self-correction.
    ♦Particular applications of AI include expert systems, speech recognition and machine vision.


    Paris

    Machine Learning

    ♦Machine learning (ML) is the scientific study of algorithms and statistical models that computer systems use in order to perform a specific task effectively without using explicit instructions.
    ♦It is seen as a subset of artificial intelligence.
    ♦ML Algorithms are used in a wide variety of applications, such as email filtering, and computer vision, where it is infeasible to develop an algorithm of specific instructions for performing the task


    Paris

    JavaScript

    ♦JavaScript is a high-level, interpreted programming language for computers.
    ♦It is often run in web browser applications to create things that work by themselves like a popup message or a live clock.
    ♦It is not related to the programming language Java.
    ♦Although Java and JavaScript have many external similarities such as name and syntax, the two languages follow different design principles.


    Paris

    Deep Learning

    ♦Deep learning is part of a broader family of machine learning methods based on artificial neural networks.
    ♦Deep learning also known as deep structured learning or hierarchical learning.
    ♦Deep learning architectures such as deep neural networks, deep belief networks, recurrent neural networks and convolutional neural networks have been applied to fields including computer vision.


    Paris

    Data Science

    ♦Data science is a multi-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data.
    ♦Data science is the same concept as data mining and big data: "use the most powerful hardware, the most powerful programming systems, and the most efficient algorithms to solve problems.
    ♦Data science is a "concept to unify statistics, data analysis, machine learning and their methods.


    Paris

    Python

    ♦Python is an interpreted, high-level, general-purpose programming language.
    ♦Created by Guido van Rossum and first released in 1991, Python's design philosophy emphasizes code readability with its notable use of significant whitespace.
    ♦Python is dynamically typed and garbage-collected. It supports multiple programming paradigms, including procedural, object-oriented, and functional programming.


    Paris

    Cloud Computing

    ♦Cloud Computing means storing and accessing data and programs over the Internet instead of your computer's hard drive.
    ♦The cloud is just a metaphor for the Internet.
    ♦It goes back to the days of flowcharts and presentations that would represent the gigantic server-farm infrastructure of the Internet as nothing but a puffy, white cumulus cloud, accepting connections and doling out information as it floats.


    Paris

    Ethical Hacking

    ♦It is also called as Penetration Testing is an act of intruding/penetrating into system or networks to find out threats, vulnerabilities in those systems which a malicious attacker may find and exploit causing loss of data or other damages.
    ♦Ethical hackers may use the same methods and tools used by the malicious hackers but with the permission of the authorized person for the purpose of improving the security and defending the systems from attacks by malicious users.


    Paris

    Anjular JavaScript

    ♦AngularJS is a client side JavaScript MVC framework to develop a dynamic web application. AngularJS was originally started as a project in Google but now, it is open source framework.
    ♦AngularJS is entirely based on HTML and JavaScript, so there is no need to learn another syntax or language.
    ♦AngularJS changes static HTML to dynamic HTML. It extends the ability of HTML by adding built-in attributes and components.


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                    This is the information to all the Computer Science & Engineering (CSE) students who are studying in the colleges affiliated to Jawaharlal Nehru Technological University, Kakinada (JNTU Kakinada) under R16 regulation that I have provided all Semester wise Subjects Materials with Lecture Notes in my blog.All the Previous Question Papers, Semester wise Lab Manuals and Syllabus Books available in my Blog. Subject related videos and some important links are given that students/faculty can make use of those things provided by kvrsoftwares.blogspot.com


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    Jntuk R16 Materials

    ♦  I Year I Semister

     ♦ I Year II Semister

     ♦ II Year I Semister

      ♦ II Year II Semister

      ♦ III Year I Semister

       ♦ III Year II Semister

     ♦ IV Year I Semister

      ♦ IV Year II Semister

    Jntuk R16 Lectures Notes

    ♦  I Year I Semister

     ♦ I Year II Semister

     ♦ II Year I Semister

      ♦ II Year II Semister

      ♦ III Year I Semister

       ♦ III Year II Semister

     ♦ IV Year I Semister

      ♦ IV Year II Semister

    Jntuk R16 Lab Manuals

    ♦  I Year I Semister

     ♦ I Year II Semister

     ♦ II Year I Semister

      ♦ II Year II Semister

      ♦ III Year I Semister

       ♦ III Year II Semister

     ♦ IV Year I Semister

      ♦ IV Year II Semister

    Jntuk R16 Syllabus Books

    ♦  I Year I Semister

     ♦ I Year II Semister

     ♦ II Year I Semister

      ♦ II Year II Semister

      ♦ III Year I Semister

       ♦ III Year II Semister

     ♦ IV Year I Semister

      ♦ IV Year II Semister

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