CodeConvert AI - Convert code with a click of a button

How to use this tool?

This free online converter lets you convert code from Python to Fortran in a click of a button. To use this converter, take the following steps -

Type or paste your Python code in the input box.
Click the convert button.
The resulting Fortran code from the conversion will be displayed in the output box.

Examples

The following are examples of code conversion from Python to Fortran 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.

Python

Fortran

Example 2 - Even or Odd

A well commented function to check if a number if odd or even.

Python

Fortran

Key differences between Python and Fortran

Characteristic	Python	Fortran
Syntax	Python has a simple and easy-to-learn syntax that emphasizes readability and reduces the cost of program maintenance. It uses indentation to create blocks, and has a dynamic type system and automatic memory management.	Fortran has a more complex syntax than Python, with a focus on mathematical operations. It uses explicit declarations for variables and arrays, and has a static type system.
Paradigm	Python supports multiple programming paradigms, including procedural, object-oriented, and functional programming.	Fortran is primarily a procedural programming language, but it also supports some object-oriented programming concepts.
Typing	Python has a dynamic type system, which means that the type of a variable is determined at runtime. It also supports strong typing, which means that the type of a variable cannot be changed implicitly.	Fortran has a static type system, which means that the type of a variable is determined at compile time. It also supports strong typing.
Performance	Python is an interpreted language, which can make it slower than compiled languages like Fortran. However, Python has many libraries and frameworks that are optimized for performance, such as NumPy and SciPy.	Fortran is a compiled language, which can make it faster than interpreted languages like Python. It is also optimized for numerical computations and scientific computing.
Libraries and frameworks	Python has a large and active community that has developed many libraries and frameworks for a wide range of applications, including web development, data analysis, and machine learning. Some popular libraries and frameworks include Django, Flask, NumPy, and TensorFlow.	Fortran has a smaller community than Python, and there are fewer libraries and frameworks available. However, there are still some libraries and frameworks available for scientific computing, such as LAPACK and BLAS.
Community and support	Python has a large and active community that provides support through online forums, documentation, and user groups. There are also many resources available for learning Python, such as online courses and tutorials.	Fortran has a smaller community than Python, but there are still resources available for learning and support, such as online forums and user groups.
Learning curve	Python has a relatively low learning curve, thanks to its simple syntax and easy-to-read code. It is also a popular language for beginners, with many resources available for learning.	Fortran has a steeper learning curve than Python, due to its more complex syntax and focus on mathematical operations. It is also less popular among beginners, with fewer resources available for learning.

How to use this tool?

Examples

Key differences between Python and Fortran

Try our ready to use converters using the links below