How to use this tool?
This free online converter lets you convert code from Python to Racket 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 Racket code from the conversion will be displayed in the output box.
Key differences between Python and Racket
Characteristic | Python | Racket |
---|---|---|
Syntax | Python has a clean and readable syntax with a focus on code readability and simplicity. | Racket has a Lisp-like syntax with a strong emphasis on parentheses and prefix notation. |
Paradigm | Python supports multiple paradigms including procedural, object-oriented, and functional programming. | Racket is a multi-paradigm language that supports functional programming and provides extensive support for metaprogramming. |
Typing | Python is dynamically typed, allowing for flexible and concise code. | Racket is also dynamically typed, but it provides optional static typing through the Typed Racket extension. |
Performance | Python is generally slower compared to languages like C or Java, but it offers good performance for most applications. | Racket is an interpreted language and may have slower performance compared to compiled languages, but it offers good performance for most applications. |
Libraries and frameworks | Python has a vast ecosystem of libraries and frameworks, including popular ones like Django, NumPy, and TensorFlow. | Racket has a smaller ecosystem of libraries and frameworks compared to Python, but it offers a rich set of libraries for various purposes. |
Community and support | Python has a large and active community with extensive documentation, tutorials, and online resources. | Racket has a smaller but dedicated community with good documentation and support available. |
Learning curve | Python has a relatively easy learning curve, especially for beginners, due to its simple syntax and readability. | Racket has a steeper learning curve compared to Python, mainly due to its Lisp-like syntax and functional programming concepts. |