In this tutorial on Python vs C++, you’ll learn everything you need to know about Python and C++, including the features and applications of each language, making it simple to choose the one that’s right for you.
What is Python?
In 1991, Guido van Rossum created Python, a high-level, general-purpose programming language. The primary design objective was to keep the Python language simple. It has features like indentation, which improves the readability of the code, as well as library functions, which give the language greater strength.
Python is an object-oriented programming language with extensive library support, which makes it simple to construct different applications and algorithms. Its language elements and object-oriented methodology are intended to assist programmers in creating logical, unambiguous code for a variety of tasks.
Python is frequently used in fields such as data analysis, statistics, and machine learning. Programming styles supported by Python include procedural, object-oriented, and functional programming.
What is C++?
C++ is a high-level and general-purpose programming language developed by Bjarne Stroustrup in 1979. Since it is a general-purpose programming language, it is used to create software for various purposes. It is a programming language extension for C earlier known as C with classes. The C++ programming language was the first to introduce the idea of object-oriented programming.
Although it was first created for system programming and embedded systems, it has now been applied to the creation of a wide range of applications, including desktop software, video games, servers for e-commerce, Web search, and SQL databases, as well as for software like phone switches.
Features of Python
Some of the important features of Python are listed below –
- Easy to Read and Use
- Object-Oriented and Procedure-Oriented Language
- Has GUI Programming Support
- High-Level Language
- Easy to Debug
- Portable and Interpreted Language
- Dynamically Typed Language
- Dynamic Memory Allocation
- Cross-Platform Language
- Has Large Standard Library support
Features of C++
Some of the important features of C++ are listed below –
- Simple, Object Oriented, and Structured Programming Language
- Machine-Independent and Platform-Dependent
- Mid-Level Programming Language
- Strongly-typed Language
- Powerful, fast, and contains a Rich Library
- Portable and modular
- Allows Dynamic Memory Allocation
- C++ is an object-oriented language and has concepts like inheritance, encapsulation, abstraction, polymorphism, etc.
Applications of Python
Some of the Important Applications of C++ are listed below –
- Python is an excellent choice for many machine learning (ML) and artificial intelligence (AI) applications because it is so reliable, adaptable, and straightforward.
- The general-purpose language may be used to write APIs, develop GUIs, and read and write file directories.
- Python is a fantastic option for Web Development. The availability of several Python web development frameworks, including Django, Pyramid, and Flask, is a contributing factor to this.
- Python is being used more and more in the financial industry, frequently in areas like the quantitative and qualitative analysis. It may be a useful tool for forecasting and identifying patterns in asset prices.
- Python also acts as a straightforward entry point for newcomers wishing to enter the field of programming. The explanation is straightforward: Python’s syntax resembles that of Standard English rather closely, making it very simple to understand and use.
Applications of C++
Some of the Important Applications of C++ are listed below –
- C++ has an advantage over other languages for creating different operating systems since it is a tightly typed, quick programming language.
- The majority of the GUI (Graphical User Interface) programs that we frequently use were also created using C++.
- C++ facilitates the creation of rendering engines for browsers because of its quicker execution.
- The most significant DBMS engines, including MySQL, Postgres, Redis, and Oracle, are also developed using C++.
- A vast collection of standard libraries that come with C++ make it easy to create sophisticated libraries for mathematical computation and machine learning.
- Cloud system storage demands scalability in file systems as well as proximity to the computer, and C++ is preferred for these purposes.
Python vs C++
|Syntax And Language Simplicity||Python is simple to use. It features a straightforward syntax that is easy to learn. It enables you to create concise and understandable code.||When it comes to language simplicity, C++ is a little more complicated and has more Syntax rules and programming norms.|
|Compilation||Python is Interpreted.||C++ is pre-compiled.|
|Garbage Collection||Supports Garbage Collection.||Does not support Garbage Collection, but it can be implemented.|
|Speed||Python is slower because it is dynamically typed and employs an interpreter, which makes it even slower.||Due to its statically typed syntax and quicker code compilation, C++ is faster than Python.|
|Rapid Prototyping||Because of the small size of the code, rapid prototyping is feasible.||Because of the large size of the code, rapid prototyping is not feasible.|
|Extension||Programs are saved with .py extension.||Programs are saved with .cpp extension.|
|Functions||No restriction on the type of parameters and return value.||Restrictions on the type of parameters and return value.|
|Scope of Variables||Variables declared inside the loop are also accessible outside the loop.||Variables declared inside the loop are not accessible outside the loop.|
|Usage||Python is frequently used in back-end programming and is widely employed in technologies like machine learning, artificial intelligence, etc.||C++ is used for the creation of a wide range of applications, including desktop software, video games, servers for e-commerce, Web search, SQL databases, etc.|
After reading this tutorial on Python vs C++, you would have understood what Python is, along with the use cases of Python and, similarly, C++ along with its use cases. You also learned about the uses and features of Python and C++ and the difference between both languages.