Python vs C++

Python vs C++: What’s the Difference?

C++ is one of the most popular languages used for general-purpose programming. You are able to encapsulate high-level as well as low-level language features using this language. As a result, it is considered a language for speakers at an intermediate level. Additionally, it was used to develop complex systems, particularly those that required coding at the hardware level.

What is Python?

Python is a general-purpose, high-level programming language with an emphasis on objects. Because it possesses built-in data structures in addition to dynamic binding and typing, it is an excellent option for the development of applications in a short amount of time. In addition, Python provides support for modules and packages, which makes it possible to modularize systems and reuse code.

Because it only needs a small number of lines of code, it is considered to be one of the quickest programming languages. Because it places an emphasis on readability and simplicity, it is an excellent option for those just starting out.

Why Python?

The following are some advantages of using the Python programming language:

In comparison to Java, C, and C++, the syntax of this language is extremely straightforward.
It is utilised in the fields of Machine Learning and Deep Learning, as well as the overarching field of AI.
Extremely helpful for both the analysis and visualisation of data.
A comprehensive library along with a variety of helpful tools for developers and programmers.
Python can run on a variety of platforms.
Python comes with its own shell pre-installed by default.
Python code is simple to write and easy to debug when compared to the code of other programming languages. As a result, its source code is manageable with only a moderate amount of effort.
Python is a portable programming language, which means that it is capable of running on a diverse range of computer platforms and operating systems.
Python already includes a large number of prebuilt libraries, which simplifies the process of developing new software.
Python is a tool that can help you simplify complicated programming. Because of the way that it processes memory addresses internally, garbage collection.
Python gives you access to an interactive shell that you can use to test things before they are actually implemented.
Python provides database interfaces that are compatible with all of the most popular commercial DBMS systems.
Maintains both imperative and functional programming capabilities.
Python is widely used in the Internet of Things.

Why C++?

The following are some of the benefits of using C++:

C++ is a multi-paradigm programming language, which means it adheres to three programming paradigms: generic, imperative, and object-oriented programming.
Performance and memory efficiency are both benefits provided by C++.
It provides abstraction at a very high level.
It is possible to use C++ alongside C.
The code can be reused thanks to the flexibility of the language.
C++’s Feature Set in Brief
The following are some of the most important aspects of C++:

Features of C++

The programme ought to be uncomplicated, object-oriented, and straightforward to comprehend.
The development process ought to take place in an environment that is both reliable and secure.
The code should adhere to the architecture and should be portable at the same time.
It is important for the code to be easily “interpreted and dynamic.”
Characteristics of Python
The following is a list of important Python features.

Features of Python

Simple to understand, read, and keep up with.
It is able to run on a wide variety of hardware platforms while maintaining a consistent user interface.
The Python interpreter allows for the incorporation of low-level module support.
Python provides an excellent structure and support for even the most complex of programmes.
Python includes support for managing garbage in an automated fashion.
It provides the capability of testing and debugging in an interactive mode.
It supports dynamic type checking as well as high-level dynamic data types, and it also offers these data types.
Integration of the Python programming language is possible with code written in Java, C, and C++.
C++’s many uses and applications
The following are some significant C++ applications:

Applications of C++

C++ is used to develop a wide variety of embedded systems, including multimedia systems in automobiles, lot devices, and smartwatches, amongst other things.
C++ also gives you the ability to develop programmes for high-performance microcontrollers and servers.
C++ is best understood through the lens of game development. Because of this trend, C++ is becoming increasingly popular among developers of video games.
Python’s many uses and applications
The following are some of the most important Python applications:

Applications of Python

Python is very popular in the field of machine learning.
The programming language makes it possible to manage large amounts of data in a straightforward and economical manner.
Python is the language that data analysts use to perform analyses of the statistical information and data.
It is also useful in technologies involving large amounts of data. Python is a widely used programming language that can be used to perform the majority of the significant data functions.
Python is the language that is used by web developers when developing complex web applications. This is due to the fact that Python offers the Django framework, which makes it easier to create entire websites using Python.
Disadvantage of C++
The disadvantages of using the C++ programming language are outlined here.

Python vs. C++

Here, are the major difference between Python and C++

Python C++
Supports Garbage Collection Does not support Garbage Collection
Python programs are easier to write Not easy in contrast to Python because of its complex syntax.
Run through interpreter C++ is pre-compiled
Rapid Prototyping is possible because of the small size of the code Rapid Prototyping not possible because of larger code size
Python is difficult to be installed on a windows box Not have an issue while installing in the windows system.
Python is nearer to plain English language. Therefore, it is easy to learn language. C++ has a stiff learning curve as it has lots of predefined syntaxes and structure
Python is slower. C++ is faster than Python
Python has more English like syntax, so readability is very high. C++ code readability is weak when compared with Python code.
In Python, variables are accessible outside the loop. The scope of the C++ variables is limited within the loops.
Famous companies using Python are Google, Lyft, Twitch, Telegram. Famous companies using C++ are Uber technologies, Netflix, Spotify, Instagram.
TIOBE rating is 3 TIOBE rating is 4
The average salary for a Python Developer is $120,359 per year in the United States of America. The average salary for a C++ Developer is $108,809 per year in the United States.

Disadvantage of C++

It does not provide any protection for your code.
A difficult language that must be used in an extremely extensive and advanced programme.
It is typically utilised for applications that are platform-specific.
When C++ is used for web applications, the resulting code is difficult to debug and can be described as complex.
C++ can’t support garbage collection.
There is no native support for threads.
When compared to other high-level programming languages, C++’s portability is lacking. Therefore, in order to compile the code written in C++, you will need to run it on a different machine.
The amount of redundant code in a programme grows whenever the same operation needs to be carried out more than once because it is necessary to copy the same sequence in some locations.
Python’s Drawbacks and Limitations
The disadvantages of using the Python programming language are outlined here.

Disadvantages of Python

Used in a limited number of platforms.
unable to perform well in mobile computing; for this reason, it is not used in app development
Because Python is a dynamic programming language, it generates a greater number of run-time errors.
database access layer that is underdeveloped and extremely basic
a lack of support from commercial sources