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Home >> Python >> Python Vs C++ |Top Differences Between C++ And Python
Python Vs C++ |Top Differences Between C++ And Python
Last Updated: 8 Apr 2024,8 min read
Python and C++ are programming languages that may be used for various purposes. These languages are rather different when it comes to overall methods such as syntax, use, and so on. However, selecting the suitable language becomes challenging. In this C++ vs Python, you will learn all you need to know about C++ and Python to choose the best language.
C++ is a computer language invented in 1979 by Bjarne Stroustrup in New Jersey. It is a general-purpose programming language, which means it may be used to construct software for a wide range of applications. Because it was developed as an extension of the C language, it was formerly referred to as C with classes rather than C++.
C++ is classified as an intermediate-level programming language because it combines aspects of both high-level and low-level computer languages.
What is Python?
Python is a high-level abstraction object-oriented programming language. It has built-in data structures, dynamic binding, and typing, which makes it a good choice for rapid application development. Python also allows modules and packages, which enable for code modularity and reuse.
It is one of the quickest programming languages since it requires so few lines of code. Because of its emphasis on readability and simplicity, it is an ideal choice for beginners.
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Why Python?
Here, are reasons for using Python language:
The syntax is quite easy compared to Java, C, and C++.
It is utilised in Machine Learning, Deep Learning, and the broader AI area.
Excellent for data analysis and visualisation.
A large collection and useful tools for developers/programmers
Python is cross-platform.
Python comes with its shell.
Python code is easier to develop and debug than other languages. As a result, its source code is reasonably simple to maintain.
Python is a programming language that can operate on a variety of devices and operating systems.
Why C++?
Here are some of the benefits of utilising C++.
C++ is a multi-paradigm language that adheres to three paradigms: generic, imperative, and object-oriented.
C++ offers speed and memory economy.
It allows for high-level abstraction.
C++ is backwards compatible with C.
The language enables code reusability.
What are the difference between Python and C++?
The following sections examine the C++ vs Python regarding programming languages.
1. Compilation
C++ is a compiled programming language. C++ compiler builds object code from C++ source code, which is then run to generate output.
Python is an interpreted programming language. Python code with the extension py does not need to be built. We may give it directly to the Python interpreter and create the result.
2. Application and Use Cases
C++ has a lot of features and a rather challenging syntax. Writing C++ code is not an easy task.
Python has a simple syntax and is straightforward to learn. As a result, developing Python programmes is significantly easier than writing C++ programmes.
3. Nature of Language
C++ is a statically typed language, meaning variable declarations, data types, and so on are checked at compilation time. This ensures that the source code is error-free during runtime.
Python, on the other hand, does not use statically typed variables. At compilation time, no type verification is performed. As a result, the code is prone to mistakes.
4. Portability
C++ is not portable, so we must recompile each platform’s code. C++ is primarily a “Write Once, Compile Anywhere” language.
Python is a portable programming language. It is also cross-platform, allowing us to run programmes on any platform.
5. Garbage Collection/Memory Management
Memory management is done manually in C++. C++ does not provide automated resource garbage collection.
Python, on the other hand, includes an automated garbage collection mechanism. The system manages its memory management.
6. Rapid Prototyping
C++ cannot be used for quick prototyping.
Using Python, we can quickly prototype code that may be utilised to construct applications in higher-level languages.
7. Scope of the Variables
C++ code is divided into blocks by curly braces () and loops. The variables’ scope is restricted to the blocks and loops denoted by.
The scope of Python variables is not confined to blocks or loops. Even outside of the curly brackets, the variables are available.
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8. Installation
C++ is simple to install on Windows. Python, on the other hand, is tough to set up.
9. Ease of Integration
Data types in C++ are tied to names and verified at compilation time. This decreases the risk of runtime mistakes.
Data types in Python are tied to values and verified at runtime. Code may be more error-prone at runtime because we do not catch problems at build time.
10. Functions
Functions are code blocks with one or more arguments and a return value. Every parameter and return value has a type.
In C++, the parameters and return types during function calls must match those specified in the function specification.
There are no such restrictions on argument and return types in Python.
11. Efficiency
C++ code is tough to maintain because it can become difficult to read as solutions get larger.
Python, on the other hand, offers clean code and a straightforward syntax. Python’s source code is easier to maintain.
12. Syntax Complexity
In C++, code is delineated by employing blocks contained in, semicolons signifying the sentence’s conclusion, and so on. As a result, the grammar of C++ is properly organised.
There are no blocks or semicolons in Python. Python, on the other hand, employs indentation.
13. Speed of Execution
When it comes to execution speed, C++ software are faster. In actuality, C++ is well-known and widely used in applications that require faster performance, such as platforms for gaming.
Python, on the other hand, is a sluggish programme. Python programmes are also slower than Java programmes. We choose Python particularly for applications that can sacrifice performance.
14. Performance
Because C++ is a statically typed language, we have fewer runtime errors to deal with. C++ also produces more dependable and quicker runtime code. As a result, C++ is a very fast language.
Because Python is dynamic, various mistakes or undesirable situations may occur during runtime. As a result, Python falls behind C++ in terms of performance.
However, in machine learning, Python has the upper hand.
15. Popularity
Python is simpler to understand and apply than C++, which becomes very difficult as we progress through its capabilities. Another benefit of Python is its libraries, which enable us to create any feature, particularly data analysis and machine learning.
In terms of popularity, Python outperforms C++. It is the preferred programming language, particularly for creating machine learning applications.
Python’s simplicity and ease of use allow us to produce short, readily understandable code, and so on. This is useful for developing sophisticated machine learning applications since we don’t have to fight with a programming language.
Second, Python is a basic language that is straightforward to learn. C++ is not in the same league. C++ is a lower-level language designed for machines rather than humans.
Thus, Python performs well on these metrics, especially when deciding between C++ and Python for constructing machine learning systems.
Python vs. C++: Which language is better?
Both C++ and Python are capable programming languages, each with its own set of strengths and applications. C++ is a multi-paradigm language well-suited for performance-critical applications and systems development due to its speed, memory economy, and high-level abstraction. On the other hand, Python stands out for its ease of use, simplicity, and huge library, making it a top choice for quick prototyping, data analysis, AI, and machine learning applications.
When picking between C++ and Python, it’s critical to evaluate your project’s unique requirements as well as the competence of your python development team. If you value performance and low-level control, C++ may be the superior option. If you value readability, simplicity, and short development cycles, Python is probably the better choice.
Finally, both languages have their uses in the world of programming, and the choice depends on your project’s nature and aims.
C++ and Python are two distinct programming languages with differing characteristics. C++ is a statically typed language known for its performance and memory management, while Python is dynamically typed and renowned for its readability and ease of use. C++ compiles to machine code for efficient execution, while Python uses an interpreter, leading to slower performance compared to C++.
C++ gives programmers direct control over memory management, requiring manual memory allocation and deallocation. Python, on the other hand, has automatic memory management (garbage collection), relieving developers from memory-related concerns. C++ enforces strong static typing, requiring variable types to be declared and adhered to, whereas Python uses dynamic typing, allowing variables to change types during runtime.
C++ excels in performance-critical applications due to its compiled nature, making it suitable for systems programming, game development, and other resource-intensive tasks. Python prioritizes developer productivity and readability, making it a great choice for rapid application development, scripting, and data analysis. However, Python's interpreted nature makes it slower than C++ for computationally intensive tasks.
C++ syntax is more complex and verbose, requiring detailed knowledge of memory management and explicit type declarations. Python features a cleaner and more concise syntax, emphasizing code readability and reducing development time. C++ often requires more lines of code for the same functionality compared to Python, which can lead to quicker prototyping and maintenance in Python projects.
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