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Comprehensive Comparison: C vs. C++ vs. Java vs. Python

Aspect

C

C++

Java

Python

Developed By

Dennis Ritchie at Bell Labs

Bjarne Stroustrup at Bell Labs

James Gosling at Sun Microsystems

Guido van Rossum

Year Developed

1972

1985

1995

1991

Paradigm

Procedural

Multi-Paradigm (Procedural, Object-Oriented, Generic)

Object-Oriented

Multi-Paradigm (Object-Oriented, Procedural, Functional)

Syntax Example

c

#include <stdio.h>

int main() {

printf("Hello, World!\\n");

return 0;

}

cpp

#include <iostream>

using namespace std;

int main() {

cout << "Hello, World!\\n";

return 0;

}

java

public class HelloWorld {

public static void main(String[] args) {

System.out.println("Hello, World!");

}

}

python

print("Hello, World!")

Input Method

c

#include <stdio.h>

int main() {

int num;

scanf("%d", &num);

return 0;

}

cpp

#include <iostream>

using namespace std;

int main() {

int num;

cin >> num;

return 0;

}

java

import java.util.Scanner;

public class InputExample {

public static void main(String[] args) {

Scanner scanner = new Scanner(System.in);

int num = scanner.nextInt();

}

}

python

num = int(input("Enter a number: "))

Output Method

c

printf("Number: %d\\n", num);

cpp

cout << "Number: " << num << endl;

java

System.out.println("Number: " + num);

python

print(f"Number: {num}")

Compiler/Interpreter

Compilers:
- GCC
- Clang
- MSVC

Compilers:
- GCC
- Clang
- MSVC

Compiler: javac
Runtime: Java Virtual Machine (JVM)

Interpreters:
- CPython
- PyPy
- Jython
- IronPython

Type System

Static Typing

Static Typing

Static Typing

Dynamic Typing

Memory Management

Manual (e.g., malloc, free)

Manual and RAII (Resource Acquisition Is Initialization)

Automatic Garbage Collection

Automatic Garbage Collection

Execution Speed

Generally Fast (Compiled to machine code)

Generally Fast (Compiled to machine code)

Slower than C/C++ (Bytecode interpretation)

Slower (Interpreted)

Use Cases

System programming, Embedded systems

System/software development, Game development, Real-time systems

Enterprise applications, Android apps, Web applications

Web development, Data Science, Automation, Scripting, Machine Learning

Standard Library

Limited Standard Library

Extensive Standard Library (STL)

Extensive Standard Library

Extensive and versatile Standard Library

List of Keywords

32 Keywords (e.g., int, return, if, else, for, while, switch, case)

61 Keywords (includes C keywords + OOP features like class, public, private, template)

50 Keywords (e.g., class, public, static, void, if, else, for, while, try)

36 Keywords (e.g., def, class, if, else, elif, for, while, import, try)

Exception Handling

Limited (e.g., setjmp, longjmp)

Yes, with try, catch, throw blocks

Yes, with try, catch, finally, throw blocks

Yes, with try, except, finally blocks

Concurrency

Limited (e.g., pthreads library)

Advanced (e.g., std::thread, async libraries)

Built-in (multithreading, concurrency APIs like java.util.concurrent)

Built-in (threading, asyncio, multiprocessing)

Platform Independence

Low (Compiled for specific platforms)

Low (Compiled for specific platforms)

High (Write Once, Run Anywhere via JVM)

High (Interpreted across platforms)

Compilation/Execution Model

Compiled directly to machine code

Compiled directly to machine code

Compiled to bytecode (javac), executed on JVM

Interpreted (compiled to bytecode in CPython)

Development Environment

Text editors, IDEs like Eclipse, Code::Blocks, Visual Studio

Text editors, IDEs like Visual Studio, CLion, Eclipse

IDEs like IntelliJ IDEA, Eclipse, NetBeans

Text editors, IDEs like PyCharm, VS Code, Jupyter Notebook

Interoperability

Limited, mainly with C libraries

Extensive, can interoperate with C and other languages through various means

High, integrates well with other JVM languages (Scala, Kotlin)

High, integrates with C/C++ (via extensions), Java, and other languages through various libraries

Popular Frameworks/Libraries

Standard C Library, POSIX libraries, GTK, SDL

Standard Template Library (STL), Boost, Qt, Unreal Engine

Spring, Hibernate, JavaFX, Apache Struts

Django, Flask, NumPy, Pandas, TensorFlow, PyTorch, Requests

Community and Support

Large, long-established community with extensive resources

Large, active community with a wealth of resources

Enormous global community, extensive corporate support (Oracle)

Vast, active community with extensive resources and third-party libraries

Development Philosophy

Simplicity and efficiency, close to hardware

Performance and flexibility, supporting multiple programming paradigms

Portability, robustness, and scalability through the JVM

Readability, simplicity, and rapid development

Other Features

Procedural abstraction, low-level memory access

Object-oriented features, templates, exception handling, operator overloading

Strict object-oriented model, platform-independent, extensive APIs

Dynamic typing, automatic memory management, extensive standard library, easy syntax

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