How to use this tool?
This free online converter lets you convert code from Scheme to Julia in a click of a button. To use this converter, take the following steps -
- Type or paste your Scheme code in the input box.
- Click the convert button.
- The resulting Julia code from the conversion will be displayed in the output box.
Examples
The following are examples of code conversion from Scheme to Julia 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.
Scheme
Julia
Example 2 - Even or Odd
A well commented function to check if a number if odd or even.
Scheme
Julia
Key differences between Scheme and Julia
Characteristic | Scheme | Julia |
---|---|---|
Syntax | Scheme has a simple and minimalist syntax with a heavy use of parentheses. It follows a prefix notation and is known for its powerful macro system. | Julia has a more traditional syntax similar to other programming languages like Python and MATLAB. It uses infix notation and supports Unicode characters for mathematical operations. |
Paradigm | Scheme is a functional programming language that also supports imperative and object-oriented programming paradigms through its dialects. | Julia is a high-level, high-performance programming language that is designed for numerical and scientific computing. It supports multiple paradigms including functional, procedural, and object-oriented programming. |
Typing | Scheme is dynamically typed, meaning that variable types are determined at runtime. | Julia is dynamically typed, but also supports optional static typing for performance optimization. |
Performance | Scheme is an interpreted language and generally has slower performance compared to compiled languages. | Julia is a compiled language that is designed for high-performance computing. It has a just-in-time (JIT) compiler that can generate highly optimized machine code. |
Libraries and frameworks | Scheme has a smaller ecosystem of libraries and frameworks compared to more popular languages. However, it has a rich set of libraries for functional programming and symbolic computation. | Julia has a growing ecosystem of libraries and frameworks for various domains including scientific computing, machine learning, and data analysis. It also has seamless integration with existing libraries in other languages like Python and C. |
Community and support | Scheme has a smaller community compared to mainstream languages, but it has a dedicated and passionate community of users and developers. | Julia has a growing and active community with strong support from its developers. It has a dedicated package manager and online forums for community support. |
Learning curve | Scheme has a steep learning curve due to its unique syntax and functional programming concepts. It requires a good understanding of recursion and higher-order functions. | Julia has a relatively gentle learning curve, especially for users familiar with other high-level programming languages. Its syntax is intuitive and it provides extensive documentation and tutorials. |