Difference between C++ vs Python

C++ vs Python

C++ and Python are both prominent and professional industry languages. Interestingly, they both have commonalities such as they both are general-purpose programming languages. Nevertheless, there are many differences such as C++ has tougher syntax than python. Hence, there could be confusion about which programming language you should learn. So, we will discuss C++ vs Python which will help you to make a confident choice between them.

What is C++?

C++ is a general-purpose programming language, which means that it can be used across all domains. It is an extension of the C programming language. C++ programming language supports multiple paradigms such as functional programming, Object-Oriented Programming, Procedural programming, generic and modular etc. Additionally, C++ programming language is also statistically typed, indicating that C++ programmers need to assign data types to data. This entitles C++ programmers to see the errors prior to compiling the program and makes programmers’ life easy. 

C++ Compilers 

There are many Free C++ compilers. But, we are going to look at the 2 most suitable free C++ compilers.

Microsoft Visual Studio was launched by Microsoft in 1993. It is an open-source tool. It supports multiple programming languages including C++. Furthermore, it is free to use and has a very easy-to-understand interface with helpful features such as debugging, that adds value to your program. Microsoft Visual Studio is supported by Windows, macOS and Linux.

GNU Compiler Collection is a compiler launched by GNU Project in 1987. It is a Free open-source tool. In addition to this, it also supports multiple programming languages alongside C++. Most importantly, it has a very user-friendly interface with supportive tools. GNU is supported by Windom, Android, IOS and AIX etc.

Advantages of C++

▸Dynamic Memory Allocation

Whereas most programming languages automatically allocate memory by themselves. Surprisingly, C++ entitles programmers to allocate memory, implying that the ability to be effective and productive with memory allocation depends on the programmers instead of the programming language. Hence, C++ is one of the most used programming languages in the world. 

▸Productive & Faster for big programs

C++ is a statistically typed programming language, meaning that C++ programmers would have to assign the right data type to the right data. For instance, if the programmer was to assign an “int” data type to the “hello”, which is a string. It will show an error right away before compiling it. In other words, a programmer wouldn’t have to go back and forth, compiling the program and fixing the bugs. 

Objective-Oriented Programming 

OOP is the most used programming paradigm among today’s developers. OOP consists of objects & classes. Additionally, it also has 4 pillars: Encapsulation, Abstraction, Inheritance and Polymorphism. Most importantly, the objective of Object-Oriented Programming is to deliver a structured, fast, scalable and secure programming model to the programmers.

What is Python? 

Python is a high-level general-purpose programming language. It is the 2nd most famous programming language among developers due to its easy syntax. Moreover, it is a dynamically typed language and supports the Object-Oriented Programming paradigm as well. Python is very dominant when it comes to task automation, data visualisation, data analysis and AI software etc.

Python Compilers

PyPy is a Python compiler that is a just-in-time compiler, conveying that it is quite fast. It is an open-source free compiler. It is supported by Windows, macOS and Linux etc. One of the most prominent advantages of PyPy is its speed. It speeds up Python by 7.6 times.

Numba is a Python compiler launched in 2012 by Community Project. Numba is an open-source and free compiler. It is known for generating optimised machine code with the help of LLVM compiler infrastructure. 

Related: 10 Intermediate Python Programming Challenges

Advantages of Python

▸Simple & Easy

Python is known for its simplicity when it comes to its syntax. In other words, it is the easiest programming language that has the capabilities to perform like any other prominent programming languages such as C++. 

▸Faster to code

As stated earlier, Python is a dynamically typed programming language, indicating that there is no need to assign the data types to data like we do in C++. In Python,  there is a name of a variable and the data is assigned to it directly. Not only this makes the programming quicker, but also improves the readability of the overall code.

▸Too many libraries to support

Python has over 137,000 libraries as of today. Importantly, these libraries play a vital role in the python programs such as machine learning, data visualisation and data analysis. Infact, one of the main reasons for the Python programming language being used for such tasks is that Python has too many libraries to support the programmer. For instance, there are so many things in python that can be done with a single line of code after importing a single library. Whereas, other programming languages would require a long program to perform the exact task.

Output in C++ and Python

✺C++

#include <iostream>

Using namespace std;

int main() {

     cout << “Hello World!”;

}



✺Python

print(“Hello World!”)

Conclusion 

Choosing programming is hard. Especially, when there are more than 700 programming languages. However, it totally relies on you to discover your interests within the programming industry. For instance, do you want to become a data analyst or someone who is coding bank applications. Hopefully, this article has added value in your life.

Good Luck with Learning Journey!

3 thoughts on “Differences between C++ vs Python”

  1. Pingback: What is Dynamic Memory Allocation? (C++)

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