Programming Languages

Object-Oriented Programming has the following reasons to be used:
1) OOP provides a clear modular structure for programs.
2) OOP makes it easy to maintain and modify existing code.
3) OOP provides a good framework for code libraries where supplied software components can be easily adapted and modified by the programmer.
4) Code reusability.
5) It is suitable for real word problems and real world works.
Few more points for better understanding are:
Why? Because if you stick to the rules, it makes complex code easier to develop, reliable, maintainable, and generally better.
OOP insists that you think about what you expose to the outside world, it lets you change the implementation of an object without affecting any other code. (Encapsulation)
It allows you to have many different functions, all with the same name, all doing the same job, but on different data. (Polymorphism)
It lets you write a set of functions then expand them in the different directions without changing or copying them in any way. (Inheritance).

SQL is something that's gonna be there until the end of the world. Even with the rise of Big Data Systems, relational database systems have not lost importance. Also, RDBMS companies are rolling out Big Data flavored features like scaling, distributed processing, data warehousing to handle large-scale structured data with the current implementations of Relational Databases. So the point is SQL is a very good place to start with and it has a great future. But I think you need to polish your skills and widen your scope to accommodate different requirements. So you should keep these things in your mind:
1. Start with a platform. SQL is an ANSI standard database scripting language, but that has been customized by large technology corps like Microsoft, Oracle, IBM, Sybase and so on. Pick up a platform and learn SQL on it. So if it is Microsoft, then install SQL Server and start exploring T-SQL. General statements are common on all platforms to some extent, but as you go deep, there changes at query, datatypes, execution levels
2. Start exploring more about the database engine of the database product. To write better queries, you need to know how they are evaluated on the server when you fire them.
3. Get some grip on database administration.
4. Having knowledge of reporting and data integration would be a plus point for you. So if it is SQL Server then try your hands on SSIS (SQL Server Integration Services) and SSRS (SQL Server Reporting Services).
5. As a last resort, if you are going to give a dive into Big Data, then learn HIVE. It is similar to SQL.

After first year, from 3rd semester onward, subjects focusing on IT and its various sub branches are introduced.
Data Structure
Database Management System
Logic Design and Structure
File Structure
Operating System
Programming in C Language
Business Information Systems
Object Oriented Programming using C+
Data Communication
Networking
Programming using Java
Computer Graphics and Multimedia
Computer Networks
Software Engineering
Information Management
E-Commerce
Web Scripting and Technology
Data Mining
RDBMS
Project Management
Data Compression
Java (Advanced)
Algorithm Design
Electronics
Those were some important subjects present in B.E./B.Tech. Information Technology course. Some of the above mentioned courses are recurring ones, meaning they will appear in more than just one semester.

Eligibility Of the Master of Computer Applications [M.C.A]
Graduation in any stream is the basic eligibility for MCA. The eligibility for qualifying marks in graduation differs from institute to institute. Most of the institutes require 45 to 50 % aggregate in qualifying exam for taking admission. Reserved categories get some relaxation in aggregate percentage.
Apart from this there is another prerequisite for taking admission in MCA degree; one must have studied Mathematics in 10+2 as a compulsory subject.
How to Get Admission in Master of Computer Applications [M.C.A]
Admission to MCA can be obtained either on the basis of entrance exams or directly on qualifying exam merit basis. Following are the general ways of admission in MCA program
Direct Admission- Direct admissions are done on the basis of merit in qualifying exam. Some institutes also provide admission on management quota, which is also way of direct admission. Management quota seats in every college are reserved. Fee is generally higher for these seats than general seats.
Entrance Test- After taking entrance test conducted by various universities, qualified students are called for counselling. Counselling is conducted for seat allotment in various colleges under that university. Admission is done after allotment of seat in counselling.
Entrance tests for MCA admissions
There are several state level/university level entrance tests for admissions.
IPUCET- Conducted by GGSIP University for admission to university and its affiliated colleges in Delhi.
TANCET- Conducted by Anna University for admission to university campus and other colleges in Tamil Nadu.
NIMCET- NIMCET is NIT MCA Common Entrance test, a National Level Test conducted by NITs for admission in to their MCA programs.
BIT MCA Entrance Test- Conducted by BIT Mesra for admissions to its MCA program.
WBJEE- Conducted by West Bengal Joint Entrance Exam Board for admission in all technical institutes of West Bengal
UPSEE- Conducted by Dr. APJ Abdul Kalam University (Formerly UPTU) for admissions to various colleges in Uttar Pradesh.

Hello,
In the IT world, there is an excessive demand of those programmers who are expert in the field of R programming. There is no specific eligibility criteria or any prerequisite to learn R programming at all. This is the easiest computer language. If you are smart enough, then you can even learn this language while just reading books and watching the tutorials on YouTube.
This programming is in demand, because R language can handle the enormous amount of business data. It is much possible that system may get out of order, because of storage incapacity. R programming can easily solve this problem, because this language can handle the petabytes of business data. Another big feature or advantage of learning this is that it is stastical application more than just a language. Hence, it supports embedding compiled code in other language like FORTRAN or C.
So, this makes the R Programming an essential elements for all the programmers to learn.

Firstly, I'd be cautious to make a claim that C++ is better than Java. There are pros and cons to both sides.
C++ is basically more power to the programmer (since one can break past all sorts of abstractions), and runs natively instead of on a virtual environment (and hence is also platform dependent). A C++ application can manage its own memory in more finer ways than a Java app can. In C++, one can overload operators, access physical addresses and override values there. One can throw and catch any type (.) and do some nasty stuff around all that. On the other hand, in Java, one can sit back and basically just deal with OO abstractions and code them up in one-way, regardless of the underlying platform. Fine-grained memory management is harder. One can play around with GC params for optimizations and get really far this way, but anything more is not really achievable. In C++, you can easily get as deep as you want to.
But, also remember, with great power comes great responsibility. An irresponsible Java developer would be less harmful to your software, than an irresponsible C++ developer would be. In that sense, Java is a relatively easier and simpler language to work with, than C++ is. With C++, a lot of responsibility and burden is on the shoulders of the programmer and with Java, a lot of this, is taken care of, by the system.
There is also a popular performance myth with C++ and Java. Since C++ runs natively, it used to run faster in most platforms than Java does, given the VM is basically emulated. However, this is increasingly being rendered moot, as JVMs end up being very powerful, and processor speeds and architectures have evolved a lot over time.

Hi,
These are some of your options today as a JavaScript developer.
HTML, CSS, and JavaScript/JQuery: You can make stand alone websites or websites that connect to a back-end, which will be handled by a separate team. You might have to work on frameworks such as Bootstrap and Semantic UI (which make your job a lot easier once mastered).
Angular/ Backbone/ React/ Vue/ Ember: All of these are JavaScript frameworks/libraries for building single page, highly interactive websites. Consider these as an icing on top of everything mentioned in the previous point. All of these solve the same problem differently, and you will have to work with whatever suits your or your employers needs.
Node JS: Thanks to Node, you can also dive into the back end/server side programming without having programmed in any other language except JavaScript.
The MEAN/MERN stack: Pick an MV* framework from point 2, add Node from point 3, and throw in a database (Mongo DB in this case). There, you are now a full stack JavaScript developer. Okay, you are not, but you just added a lot of value to yourself.
Mobile/cross platform app development with Ionic/PhoneGap/React Native: All of these use JavaScript and other supporting technologies. Not many people take them seriously though.
There are also complete solutions like Meteor, which pretty much handle the back end for you, and let you focus on the UI. You can choose from Angular, Blaze, and React for the UI.
To sum it up, there are ton of opportunities right now, but that doesnt mean its going to be like this forever. If we were talking about something rock solid, like Java, I could rest easy knowing my job is secure, at least for a while. With the web, its a new, shiny thing everyday. We love jumping wagons.
All the best.