Differences Between Python vs C++
Python and C++ are the programming languages used for general purpose, but both Python and C++ languages differ from each other in many ways. C++ is originated from the C language with multiple paradigms and provide the feature of compilation.
In C++, a single program needs to be compiled on every operating system on which the code is run.
Python provides the ability to ‘write once, run anywhere’ that enables it to run on all the operating systems which have Python installed.
Python has an inbuilt garbage collection and dynamic memory allocation process that enables efficient memory management.
In C++, the developer needs to declare data type before using it. Therefore, it is less ambiguous regarding what the codes do, and error handling becomes easier than python.
While writing code in Python, a user doesn’t need to mention the type of data before using it, consequently making the code’s length shorter and easier to maintain. For example, in C++, a user must declare int a=5, whereas, in Python, a=5 is sufficient.
C++ is also called an intermediate-level programming language as it is developed using both low-level and high-level language features. C++ also supports object-oriented functionalities like the concept of classes, operator overloading, multiple inheritances, virtual functions, exception handling etc.
Python is known for its simplicity, easy to read concerning code, and recognized as a high-level programming language. Python consists of inbuilt constructs that have the feature of executing clear code on a small as well as large scale. Python is an object-oriented programming language.
C++, these days, is generally used for designing hardware. It is first described in C++ followed by its analysis, architecturally constrained and planned to develop a register-transfer level hardware description language.
Python is used as a scripting language, and at times it is also used for non-scripting purpose. Also, Python has a standalone executable application with the help of some existing tools.
Head to Head Comparison Between Python and C++ (Infographics)
Below are the top 9 differences between Python and C++:
Key Differences Between Python and C++
The key difference between Python and C++ are explained in the below-mentioned points:
- Every entity in Python is treated as an object, be it in or floats that reside in a heap. The entities on stacks are mainly the variables names that have their references to the heap.
- Python has less backward compatibility, whereas C++ is more compatible with the system in use.
- Python programs result as much shorter in length in comparison to code in C++ that enables fast prototyping and results in a speedier coding rate.
- C++ is complete, based on the binary that used existing libraries to perform the coding operations.
- Python has flexibility while calling functions and returning their values.
- C++ uses a compiler for the compilation of the code.
- Python, when runs, uses an interpreter.
- A wide variety of applications use C++ to be developed.
- Python has access to the API of a wide variety of applications based on 3D.
- Python is an easy-to-use programming language in comparison to C++.
- Python is slower than C++.
- Python helps in faster application development and keep introducing additional language features.
- Writing code in C++ is not as easy as in python due to its complex syntax.
- Python is easier to use and writing code because of its friendly syntax.
- Python has inbuilt, ready to use libraries that are more user-friendly for learning and implementation.
- When divided into Python, two numbers result in float (while importing division from_future_), whereas, in C++, casting needs to be implemented to achieve this functionality.
- Serialization on objects can easily be achieved in Python using its pickle. Saves () method is a more laborious task to perform in C++.
- Python extends support for a complete set of reflection features through which it is possible to iterate over the class methods, members etc.
- Python has a larger standard library than the library available in C++.
Python and C++ Comparison Table
Below are the lists of points, describe the Comparison Between Python and C++.
|Garbage Collection||Supports Garbage Collection||Does not support Garbage Collection|
|Usage||Easier to write code||Not easy in contrast to Python due to complex syntax|
|Compilation||Run through interpreter||C++ is a pre-compiled|
|Rapid Prototyping||Rapid Prototyping is possible due to the small size of the code||Rapid Prototyping not possible due to the larger code size|
|Installation||Python is challenging to be installed on a windows box||No difficulty in installation|
|Scope of the Variables||Variables are accessible even outside the loop||Variables’ scope is limited to within the loops|
|Functions||Functions do not have restrictions on the type of the argument and the type of its return value.||The function can accept and return the type of value which is already defined.|
|Efficiency||Easier to maintain, object-oriented and simpler to use||Less clean and manageable in comparison to python|
|Nature||Dynamically typed language||Statically typed language|
There are many C++ software compilers, both open source and free can be easily available in the market. Some of the software are GNU Project, Microsoft, Intel and Embarcadero Technologies. C++ also has an impact on other programming languages like C# and Java. C++ became more popular than C, which is known to perform as a compiler to native code. C++ also includes client applications, high-performer server applications, device drivers, embedded driver components, systems software, and application software. It is also used in domains for developing video games. As C++ is a statically typed language, the programs are determined at the time of compilation.
Python is another object-oriented programming language different from C++ in many ways. Python enables developers to give fewer efforts to program functions in lesser code lines compared to C++. Python is considered as a programming language with multiple paradigms with easier coding syntax and methods. Python comes with a massive set of inbuilt standard libraries. These features make Python a language of practical usability. Python’s interpreters can easily be found for many different operating systems. Program’s class members are determined at run-time in Python. A developer can re-assign methods and functions at runtime.
This has been a guide to the Difference Between Python and C++. We have discussed Python and C++ head to head comparison, key differences, and infographics and comparison table. You may also look at the following articles to learn more –