When we talk about the general-purpose programming languages, then the first two languages that come into our mind is C++ and Python. There are a lot of differences between C++ vs Python. The only similarity between these two is the general-purpose languages.
Let’s start with a short introduction to C++. We can say that it is the successor of the C language with object-oriented capabilities. On the other hand, Python is the most popular high-level programming language in the world. It is quite easy to use; the most unique feature of Python is that you do not need to declare variables in Python.
C++ is one of the most popular and widely used general-purpose programming languages. It is used to develop complex systems where the hardware level coding requires. But C++ is not portable like other high-level programming languages.
You need to compile the C++ code every time if you want to run it on another machine. It is having a lot of similarities with the C language. Bjarne Stroustrup developed C++ in late 1979. It is one of the most powerful high-level programming languages. Most of the programmers call it “C with classes.”
Uses of C++
- When we talk about hardware-level coding, then C++ is the first choice of the developers. It is used to produce almost every embedded system. e.g., smartwatches, stopwatches, multimedia systems in automobiles, electric cars systems, IoT devices, etc.
- We can also develop the servers and the high-performance microcontroller programs. Microcontroller programs can be found in factories.
- Game development is the key to C++. That is the reason C++ is becoming more popular among game developers. We can create 3D games, multiplayer, and many more types of games using C++. One of the leading game development framework Unity is also written in C++.
- C++ is also used to create the compiler for other programming languages. Did you know that almost every programming language compilers are created with the help of C++.
Python is the most powerful general-purpose programming language. It is widely used in machine learning in Big Data technologies. Python was created in late 1991 by Guido van Rossum, the dutch programmer. It is the only programming language in the world that has the best code readability. When the Python was created, it was built with the motive to make its programming most straightforward than any programming language.
Python code depends on the indentation apart from the complex structure. Apart from that Python is an interpreted language. It means that python code needs not to be converted into machine language at the runtime. Did you know that Python still ranks among the simplest programming language in the world.
It is quite close to pseudocode. Therefore its code is quite readable and beautiful. Moreover, it has plenty of libraries that make it extremely powerful. The popularity of Python is making it the most desirable language in the current industry.
Uses of Python
- Python is widely used with machine learning. In other words, Python code is compatible with machine learning. Thus the program created with Python has the capabilities of machine learning. In contrast, it is helping in various industries such as retail, banking, aerospace, and many more. It helps in getting useful insight into the business to make plans.
- When it comes to the data analyst, their first choice is Python programming language. The reason is that Python has the ability to manage the massive amount of data with ease and cost-effective way. Data analysts use it to analyze the data and statistical information.
- Web developers also use Python for developing the most complex web application. Python offers the Django framework. You can also create the entire sites using Python, but it is quite challenging to do.
- Python is also useful in Big data technologies. Most of the significant data functions can be performed using Python programming.
C++ vs Python
C++ is using the predefined structure to write the code in it. It means that whenever you do start coding in C++, you need to follow the structure. Therefore the code written in C++ becomes more lengthy than Python. But wait C++ offers the fast prototyping features.
With this feature, you can code in C++ with a rapid pace. On the other hand, Python doesn’t have a predefined structure. Therefore you can write simple code in Python and make your code much shorter.
C++ is using the compiler for the compilation of the code. Thus it does not allow you to run the same code on other machines or operating systems. If you want to run the same program on different computers. Then you need to compile the program on other machines to run it.
On the other hand, Python uses the interpreter to run the code. Therefore you can run the Python program on almost every computer or operating system. But the Python should be installed on the computer.
Ease of learning
C++ is quite complicated when it comes to learning. It has lots of predefined syntaxes and structure. On the other hand, Python is close to plain English. Therefore it is easier to learn. C++ is worked very close to the hardware; therefore, a wrong C++ program can destroy the entire system. If we talk about the compile steps, then Python has the number of compile steps depends on the length and functions of the code.
But on the other hand, Python has zero compile steps. You can run the Python code by simply typing the name of the program with .py extension. As a beginner, you can find the best community support for Python because Python has the largest community than any other programming language.
You can also find the documentation of Python on its official sites. If you face any problem using Python then you can directly ask for help in its community. On the other hand, C++ doesn’t have well-written documentation. But it has the community to solve the issues of the programmers.
It is the key to every programming language. Speed matters a lot when it comes to real-time systems. Nowadays, lots of industries are working on real-time systems. Therefore the language has to be fast to run the real-time systems. C++ is faster than Python. Python is slower because it is also written in C language.
Memory management is quite complex in C++. It allows you to allocate the memory to the new variables and also deallocate the memory from the variable when it is no longer requires in the code. If you don’t do the same, then there are also the chances of memory leak in C++. Because C++ doesn’t support the garbage collection.
On the other hand, there is no need to allocate and deallocate memory in Python. Because Python does it on its own, it does the memory management job with the memory allocation feature.
C++ code readability is weak as compared with Python. The reason is C++ has a lot of syntaxes that are entirely overwhelming when it comes to readability. C++ also lacks the indentation rules. Thus the code is like garbage in some points.
On the other hand, Python has more English like syntax. It allows the indentation rules; thus, the programmer can keep track of every opened bracket. Let’s explain the readability with the help of a simple example.
std::cout << “Hello Calltutors!\n”;
If we want to use any data type in C++. Then we need to declare the data type each time we use. Therefore we do have the proper command over when we have declared the datatype. It also becomes less ambiguous that what the code is going to do with the datatype. Thus it is quite easy to find and handle errors in C++.
On the other hand, if we want to write the code in Python, then we need not declare the type of data. Therefore the length of the code becomes shorter and easier to maintain. For example, in C++ code the data type will declare as int a=10, and in Python a=10
C++ is having the features of both the high-level language and low-level language. Thus it is also known as the intermediate level programming language. Apart from that, it also has all the features of the object-oriented programming language.
Some of the top OOPs features of C++ are class, operator overloading, multiple inheritances, exception handling, etc. On the other hand, Python is the most simple and powerful high-level programming language. It has some inbuilt constructor for executing clear code for large and small scale. It is also an object-oriented programming language.
Python vs C++ syntax
C++ has complex syntax as compared with Python. It requires the semicolons and brackets to work. You can’t run the C++ code without using semicolons and brackets.
On the other hand, Python offers a user-friendly approach to code into it. The entire structure of Python programming depends on the code indentation. In other words, we can say that the indentation creates the structure of code in Python. We write an end of the line at the end of the statement that replaces the uses of the semicolon in Python. We can also use the backslash within our code if we do not want to break our line of code. C++ uses the semicolon at the end of each line.
C++ Career opportunity
- Junior Programmer
- Software Developer
- Quality Analyst
- Game Programmer
- Software Developer Engineer
- Programming Architect
- UNIX Shell Scripting
- Backend Developer
- Embedded Engineer
- Database Developer
Career in Python
- Python Developer
- Product Manager
- Data Analyst
- Financial Advisors
- Data Journalist
- Research Analyst
- Data Scientist
- Software Engineer
- Software Developer
Companies using C++
Companies using Python
- Cause Of Memory Leak In Python And How To Fix Them
- Expert Tips On How To Learn Python Fast And Efficiently
Conclusion (C++ vs Python)
If we talk about the conclusion from the above discussion on C++ vs Python, we get that C++ is quite faster than the Python. Thus it is the best option to build real-time applications. Whenever we want to create real-time apps or on the go apps, then C++ is the first choice. The Majority of companies are using C++ is developing their platforms.
One of the famous search engines, Google are utilizing both C++ and Python to provide unmatched performance to the users. Apart from that Python is having better Graphic capabilities as compared with C++. Nowadays, lots of companies on their online apps to attract more users.
Python provides the best framework to develop and create robust and eye-catchy web applications. Instagram, Google, Netflix, and many more companies are utilizing this feature of Python. But wait, if we want to do code to the hardware level, then there is no competition between C++ vs Python because C++ can code to the hardware level.
It is the only language that is the combination of low and high-level programming languages. Thus you can utilize the hardware to its full potential without doing the complex coding. That’s why C++ is becoming the first choice for gaming console developers.
Both C++ and Python are having a decent future scope. But if you want to be more than just a developer, then you should opt for Python. Otherwise, you can choose to C++ to become the C++ developer.
We do have both C++ programming experts and Python programming experts. They have plenty of years of experience in their fields. Therefore they can provide you the best C++ programming help and Python programming help. Along with they are also capable of offering you the best C++ assignment help and C++ homework help.