How to use this tool?

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

  1. Type or paste your CoffeeScript code in the input box.
  2. Click the convert button.
  3. The resulting SAS code from the conversion will be displayed in the output box.

Examples

The following are examples of code conversion from CoffeeScript to SAS 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.

CoffeeScript

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SAS

Example 2 - Even or Odd

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

CoffeeScript

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SAS

Key differences between CoffeeScript and SAS

CharacteristicCoffeeScriptSAS
SyntaxCoffeeScript has a more concise and expressive syntax compared to SAS.SAS has a more verbose and structured syntax compared to CoffeeScript.
ParadigmCoffeeScript is a functional programming language that compiles to JavaScript.SAS is a procedural programming language used for statistical analysis and data management.
TypingCoffeeScript is dynamically typed.SAS is statically typed.
PerformanceCoffeeScript's performance is dependent on the underlying JavaScript engine.SAS is optimized for data processing and statistical analysis, but may not be as performant for general-purpose tasks.
Libraries and frameworksCoffeeScript has access to a wide range of JavaScript libraries and frameworks.SAS has its own set of libraries and frameworks for statistical analysis and data management.
Community and supportCoffeeScript has an active community and good support from the JavaScript ecosystem.SAS has a dedicated community and support from SAS Institute.
Learning curveCoffeeScript has a relatively low learning curve, especially for developers familiar with JavaScript.SAS has a steeper learning curve, especially for developers without prior experience in statistical analysis.