How java is different from c/c++?


How java is different from c?




1. C is structured oriented language(POP) while java is object oriented langauge and has mechanism to define classes and objects.

2. Java does not support an explicit pointer type.

3. Java does not have preprocessor, so we cannot use #define,#include and #ifdef statements.

3. java does not include struct enum and union datatype.

4. Java does not include keyword like goto, sizeof, typedef.

5. Java adds labelled break and continue statement.

6. Java adds many feature required for OOP
How Java is different from C++?


Features removed in java.

1. Java does not support pointers to void  i.e unauthorized access to memory.

2. Java does not include struct, enum,  union datatype.

3. Java does not support operator overloading.

4. Preprocessor plays less role in C++ and so eliminated entirely in Java.

5. Java does not perform automatic type conversion and result in loss of precision.

6. Java does not support global variables.Every method and variable is declared within a class and forms part of that class.

7. Java does not allow default arguments.

8. Java does not support inheritance of multiple super classes by a subclass(multiple inheritance). This is accompalished by using Interface concept which we will learn later.

9. It is not possible to declare unsigned integers in Java.

10. In Java objects are passed by refrence only. In C++ objects may be passed by value or refrence.
New features added in java ??




1. Multithreading  that allows two or more pieces of same program to execute concurrently(e.g. audio and video playing simultaneoulsy when we play and multimmedia)

2. C++ has a set of library function that use a common header file.But java replaces it with its own API classes.

3. It adds packages and interfaces.

4. Java supports automatic garbage collection.

5. Break and Continue statements has been enhanced in java to accept labels as targets.

6.The use of unicode character (accepted in worldwide) ensures portability.

7. Though C++ and Java supports boolean datatype , C takes any non zero value as true and zero as false. True false in Java are predefined literals that are values for a boolean expression.

8. Java has replaced the destructor function with finalize() function.

9. C++ supports exception handling that is similar to Java. However in C++ there is no requirement that a thrown exception be caught.

Comments

Post a Comment

Popular posts from this blog

week 13( 4-8 November)

Image
Statistics By Sehra Sir We had been having sessions with Sukhjit Sehra Sir on statistics since the past week. This week we learned about the following topics: Probability and Probability Distributions Probability theory developed from the study of games of chance like dice and cards.  A process like flipping a coin, rolling a die or drawing a card from a deck is called probability experiments.  An outcome is a specific result of a single trial of a probability experiment. Probability Distributions Probability theory is the foundation for statistical inference.  A probability distribution is a device for indicating the values that a random variable may have.  There are two categories of random variables.  These are discrete random variables and continuous random variables. Discrete random variable The probability distribution of a discrete random variable specifies all possible values of a discrete random variable along with their respective probabilities. Example
Read more

week 11(21-25 october)

Image
After completing my news article recommender last week the upcoming week brought me opportunity to explore a library for high dimensional space visualization t-SNE , I was told by my mentor Mr.Vikram Jha to explore it and tell insights. t-SNE t-Distributed Stochastic Neighbor Embedding (t-SNE) is a ( prize-winning ) technique for dimensionality reduction that is particularly well suited for the visualization of high-dimensional datasets. Before jumping to t-SNE i knew about old technique of dimensionality reduction that is PCA,  Principal Component Analysis, I first studied in ISB videos but when Sarabjot sir explained,it  became thorough PCA Principal component analysis (PCA) is a technique used to emphasize variation and bring out strong patterns in a dataset. It's often used to make data easy to explore and visualize.
Read more

week 14(11 -15 November)

Image
In this week , we continued with deep learning course lecture no.2 "The neural net as a universal approximator" which includes recap of previous lecture related to perceptron and its firing condition.After that we first learned about deep layer structures,then we move on to multilayer perceptrons and how it is used to evaluate boolean expression , learning geometrical shapes and also learnt about required optimal depth for a neural network. Another task was given to us by Sehra sir i.e. hypothesis testing and z-statistics assignment using R.There were 3-4 assignments which was supposed to be completed in 3 days. We also watched Danko sir's lecture no.2 .The lecture was about first understandig human level intelligence and how can we achieve that in computers.He taught us about electic models and specialized models also.
Read more