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 COBOL 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 COBOL code from the conversion will be displayed in the output box.

Examples

The following are examples of code conversion from Python to COBOL 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

COBOL

Example 2 - Even or Odd

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

Python

COBOL

Key differences between Python and COBOL

Characteristic	Python	COBOL
Syntax	Python has a simple and readable syntax with a focus on code readability.	COBOL has a verbose and complex syntax with a focus on business-oriented programming.
Paradigm	Python supports multiple paradigms including procedural, object-oriented, and functional programming.	COBOL is primarily a procedural programming language.
Typing	Python is dynamically typed, meaning variable types are determined at runtime.	COBOL is statically typed, meaning variable types are determined at compile-time.
Performance	Python is an interpreted language and generally slower than compiled languages like COBOL.	COBOL is a compiled language and generally faster than interpreted languages like Python.
Libraries and frameworks	Python has a vast ecosystem of libraries and frameworks for various purposes.	COBOL has limited libraries and frameworks compared to Python.
Community and support	Python has a large and active community with extensive support and resources.	COBOL has a smaller and less active community with limited support and resources.
Learning curve	Python has a relatively low learning curve, making it beginner-friendly.	COBOL has a steep learning curve, often requiring specialized training.

How to use this tool?

Examples

Key differences between Python and COBOL

Try our ready to use converters using the links below