How to use this tool?
This free online converter lets you convert code from Ada to SAS in a click of a button. To use this converter, take the following steps -
- Type or paste your Ada code in the input box.
- Click the convert button.
- The resulting SAS code from the conversion will be displayed in the output box.
Examples
The following are examples of code conversion from Ada 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.
Ada
SAS
Example 2 - Even or Odd
A well commented function to check if a number if odd or even.
Ada
SAS
Key differences between Ada and SAS
Characteristic | Ada | SAS |
---|---|---|
Syntax | Ada has a syntax that is similar to Pascal and is known for its readability and maintainability. | SAS has its own unique syntax that is used for data manipulation and analysis. |
Paradigm | Ada supports multiple paradigms including procedural, object-oriented, and concurrent programming. | SAS is primarily a procedural programming language. |
Typing | Ada is a statically typed language with strong type checking. | SAS is dynamically typed. |
Performance | Ada is known for its high performance and efficiency. | SAS is optimized for data manipulation and analysis rather than performance. |
Libraries and frameworks | Ada has a wide range of libraries and frameworks available for various purposes. | SAS has a comprehensive set of libraries and frameworks for data manipulation and analysis. |
Community and support | Ada has a smaller community compared to other languages, but there are dedicated communities and support available. | SAS has a large and active community with extensive support resources. |
Learning curve | Ada has a moderate learning curve, especially for programmers familiar with Pascal or other similar languages. | SAS has a relatively steep learning curve, especially for programmers without prior experience in data analysis. |