How to use this tool?
This free online converter lets you convert code from C++ to Python in a click of a button. To use this converter, take the following steps -
- Type or paste your C++ code in the input box.
- Click the convert button.
- The resulting Python code from the conversion will be displayed in the output box.
Examples
The following are examples of code conversion from C++ to Python using this converter. Note that you may not always get the same code since it is generated by an AI language model which is not 100% deterministic and gets updated from time to time.
Example 1 - Is String Palindrome
Program that checks if a string is a palindrome or not.
C++
Python
Example 2 - Even or Odd
A well commented function to check if a number if odd or even.
C++
Python
Key differences between C++ and Python
Characteristic | C++ | Python |
---|---|---|
Syntax | C++ has a complex syntax with a lot of rules and keywords. It requires semicolons to end statements and curly braces to define blocks of code. | Python has a simple and easy-to-learn syntax. It uses indentation to define blocks of code and does not require semicolons. |
Paradigm | C++ supports multiple programming paradigms, including procedural, object-oriented, and generic programming. | Python supports multiple programming paradigms, including procedural, object-oriented, and functional programming. |
Typing | C++ is a statically typed language, which means that variable types must be declared before use. | Python is a dynamically typed language, which means that variable types are determined at runtime. |
Performance | C++ is a compiled language and is generally faster than interpreted languages like Python. It also allows for low-level memory manipulation. | Python is an interpreted language and is generally slower than compiled languages like C++. However, it has a large number of libraries and frameworks that can improve performance in certain areas. |
Libraries and frameworks | C++ has a smaller number of libraries and frameworks compared to Python, but they are generally more efficient and low-level. | Python has a large number of libraries and frameworks for various purposes, including scientific computing, web development, and machine learning. |
Community and support | C++ has a large and active community, with many resources available for learning and development. | Python has one of the largest and most active communities of any programming language, with a wealth of resources available for learning and development. |
Learning curve | C++ has a steep learning curve due to its complex syntax and low-level features. | Python has a relatively easy learning curve due to its simple syntax and high-level features. |