Many of the new stage programmers look out for difference between Python and C++ languages. However, the differences between these two high level languages are significant and hence must be considered before choosing one of them.
Python and C++ are two of the most popular and in-demand programming languages worldwide. They both offer support to object-oriented programming practices and consist of an extensive set of libraries and frameworks. In this article we are going to know some of the major difference between Python and C++ languages.
What is Python Programming Language?
Python is an interpreted high level general purpose programming language popular for its simplicity, clean, and readable code syntax. This programming language offers everything you need to integrate with advanced technologies like data science, machine learning, artificial intelligence, data analysis, and more.
Python has everything for everyone! It is a rich programming language with an extensive set of libraries. It is a dynamically typed language with support for garbage collection and name resolution. There are many features of the Python language we will know in this article.
Features of Python Programming Language
Let us get an overview of some important and highlighting features of Python programming language.
- Python is an interpreted language which means every line of code is executed one by one.
- Python is frequently used in various major domains such as computing, software development, automation, data science, machine learning, artificial intelligence, and more.
- Python libraries have solutions for almost all types of mathematical and logical problems.
- Python is a popular choice among developers of various fields and is widely supported due to its ease of learning and implementation.
- Python has simpler syntax and plenty of other features which makes it a popular choice among developers worldwide.
What is C++ Programming Language?
The C++ programming language is a high level and object oriented programming language used for developing high-end applications. It is an extension of C language with extra support features and a high level of control over system memory and resources. C++ is a suitable language for building high end and complex software solutions.
It provides STL (Standard Template Library) with the power to solve various real and complex problems. Let us know more about the difference between Python and C++ language.
Features of C++ Programming Language
Let us get an overview of some important and highlighting features of the C++ programming language.
- The C++ programming language is used to develop high end software solutions such as gaming software and multiple page websites.
- C++ language is used to develop operating systems like macOS, Windows, Linux, and more.
- C++ language supports cross platforms and many popular websites such as Chrome, firefox, and other compilers are written in C++
- C++ is an object oriented programming language with support for objects, classes, inheritance, polymorphism, and encapsulation.
- C++ is a compiled programming language which means the code is translated directly into machine code which results in faster execution.
- This programming language can run easily on multiple platforms.
Python Vs C++: Which Has More Easier and Readable Code?
Python and C++ both are high level programming languages with the support of many rich features and functionalities. Let us know a major difference between Python and C++ based on readability and ease of writing and learning the coding syntax.
Python programming language consists of easier and readable code syntax which programmers can easily learn and understand. While C++ in comparison to Python has complex syntax.
Python vs C++: Difference Between Python and C++ Syntax
Let us understand some of the difference between Python and C++ based on its syntax, such as comments, print statements, input variables, and more.
No Need to Declare Data Types In Python
In Python, you do not need to explicitly declare the data type while in C++ language you will need to declare the data type of a variable before assigning its value.
| a = “Ankit” # In Python this syntax is correct
int a = 23; // In C++ this syntax is used to declare variable |
Comment In Python Vs C++
In Python, a hashtag (#) is used to comment a code while in C++ code comments are represented by double slash (//) and multiline comments are initialised with (*/…./*)
| #This is a Hello World Program in Python
print (“Hello World!”) // This is a Hello World program in C++ cout<< “Hello World!”<<endl; |
Semicolon to Close C++ Statement
In C++ all statements are closed using a semicolon, but in Python, there is no need to close a statement with a semicolon.
| # In C++ every syntax is closed with a semicolon at its end.
int val = 4 + 5; cout<< val<<endl; # In Python, no semicolon is used at the end of a statement. val = 4+5 |
Indentation is used in Python but Not C++ language
Python uses indentation to separate each line of code. However, in C++ there is no indentation used in any line of code. Let us understand the difference between Python and C++ indentation with the help of an example below.
| # Function to check if a number is even or odd (Check Indentation)
def check_number(num): if num % 2 == 0: print(“The number is even.”) # Indented inside ‘if’ else: print(“The number is odd.”) # Indented inside ‘else’ # Calling the function check_number(5) |
Python Vs C++: Which Programming Language is Faster And Why?
C++ language is faster and quicker than Python language because it is a compiled language that directly converts the program into machine code and eliminates the need for any extra steps hence it executes code faster than Python.
Python is an interpreted programming language that executes code line by line and hence is slower than C++ programming language. Hence. C++ is preferred in projects with close deadlines as compared to Python. This is one of the most important difference between Python and C++.
Python Vs C++: Extensive Set of Libraries In Python
Python in comparison to any other programming language has a wide and extensive set of libraries consisting of prewritten methods, classes, and codes which can help developers and analysts in solving real world programming problems. Python libraries like NumPy, Pandas, Matplotlib, Scikit Learn and more can support various fields like Data Science, Data analysis, machine learning, and other advanced technologies.
While, C++ programming language also provides feature-rich libraries in the form of STL which can be used in various scenarios such as vectors in place or arrays, maps to loop, and more. However, when compared to Python, C++ libraries are far less optimized.
| Python Libraries | C++ Libraries |
| NumPy | Boost |
| Pandas | STL (Standard Template Library) |
| Matplotlib | Qt |
| TensorFlow | Eigen |
| PyTorch | OpenCV |
| Scikit-learn | Poco C++ Libraries |
| Flask | C++ REST SDK |
| Django | WxWidgets |
| Requests | Asio |
| BeautifulSoup | SFML (Simple and Fast Multimedia Library) |
| OpenCV (Python binding) | Catch2 (Unit Testing Framework) |
| SQLAlchemy | GSL (GNU Scientific Library) |
| Keras | Cereal |
| Plotly | Protobuf (Protocol Buffers) |
| Scrapy | Thrust |
Python Vs C++: Difference Between Python and C++
Let us understand some of the major difference between Python and C++ in the table below.
| Python | C++ |
| Python is an interpreted, high-level programming language. | C++ is a compiled, general-purpose programming language. |
| It is easier to learn due to its simple syntax and ideal for beginners. | C++ has a more complex syntax; and requires an understanding of programming concepts. |
| Python has slower execution due to interpretation. | C++ is faster in execution due to compilation and closer hardware interaction. |
| It supports automatic memory management with garbage collection. | It supports manual memory management using pointers and dynamic allocation. |
| It uses indentation to define blocks of code. | It uses braces {} to define blocks of code. |
| Python does not require compilation and runs directly using an interpreter. | C++ requires compilation into machine code before execution. |
| It consists of an extensive standard library and many third-party libraries. | It has Standard Template Library (STL) and various other libraries, but fewer than Python. |
| It is slower for CPU-intensive tasks. | It is better for CPU-intensive tasks due to its compiled nature. |
| Python is ideal for web development, data science, AI, machine learning, and scripting. | C++ is commonly used in system programming, game development, and performance-critical tasks. |
| It fully supports object-oriented programming but allows procedural styles. | It is designed as a multi-paradigm language with strong support for object-oriented programming. |
| Python is platform-independent; can run on any platform with Python installed. | C++ is platform-dependent; binaries need to be recompiled for different platforms. |
| In Python, errors are detected at runtime (dynamic typing). | In C++, errors are often detected at compile time (static typing). |
| Python consists of a large community with extensive online resources and tutorials. | C++ has a mature community with extensive resources but is slightly smaller than Python’s. |
Learn Python and C++ Programming with PW Skills
Improve your programming language skills in any one of your programming languages whether it is C++ or Python with PW Skills Decode DSA with Python and Decode DSA with C++ Course. Get exclusive in-depth tutorials, practice exercises, and real world projects within this course. Learn in guidance of our dedicated mentors and interactive coursework.
Master all fundamentals of Python and C++ programming and improve your competitive coding skills with these self paced courses only on pwskills.com
Difference Between Python and C++ FAQs
Q1: Which language is easier to learn, Python or C++?
Ans: Python is easier to learn due to its simple and readable syntax, making it a popular choice for beginners. C++ has a steeper learning curve because of its complex syntax and concepts like pointers and memory management.
Q2. Which language performs better in terms of execution speed?
Ans: C++ generally performs better than Python because it is a compiled language and closer to hardware. Python's interpreted nature makes it slower for CPU-intensive tasks.
Q3: Is Python better for web development than C++?
Ans: Yes, Python is better suited for web development due to its extensive libraries and frameworks like Django and Flask. C++ is rarely used for web development and is more suited for system programming and performance-critical applications.
Q4: Which language is better for game development?
Ans: C++ is the preferred choice for game development because of its performance, memory control, and compatibility with popular game engines like Unreal Engine. Python can be used for simpler games or scripting within game engines like Unity.
