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Online Python to Rust Converter

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Additional Instructions

How to use this tool?

This free online converter lets you convert code from Python to Rust 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 on the "Convert" button.
The converted Rust code will be displayed in the output box.

Examples

The following are examples of code conversion from Python to Rust 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 Code:

Rust Code:

Example 2 - Even or Odd

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

Python Code:

Rust Code:

Differences

The following are some key differences between Python and Rust.

Characteristic	Python	Rust
Syntax	Python has a simple and easy-to-learn syntax that emphasizes readability and reduces the cost of program maintenance. It uses indentation to create blocks and has a dynamic type system.	Rust has a syntax that is similar to C++ and is more complex than Python. It uses curly braces to create blocks and has a static type system.
Paradigm	Python is a multi-paradigm language that supports procedural, object-oriented, and functional programming.	Rust is a multi-paradigm language that supports procedural, object-oriented, and functional programming.
Typing	Python has a dynamic type system, which means that the type of a variable is determined at runtime.	Rust has a static type system, which means that the type of a variable is determined at compile time.
Performance	Python is an interpreted language and is generally slower than compiled languages like Rust. However, it has a large number of libraries and frameworks that can be used to optimize performance.	Rust is a compiled language and is generally faster than interpreted languages like Python. It also has a number of features that make it easy to write high-performance code.
Libraries and frameworks	Python has a large number of libraries and frameworks for a wide range of applications, including web development, scientific computing, and machine learning.	Rust has a smaller number of libraries and frameworks compared to Python, but it has a growing ecosystem of libraries and frameworks for systems programming and web development.
Community and support	Python has a large and active community of developers and users, which means that there is a lot of support available for beginners and experts alike.	Rust has a smaller but growing community of developers and users, which means that there is less support available compared to Python.
Learning curve	Python has a relatively low learning curve and is easy to learn for beginners. It has a large number of resources available for learning, including books, tutorials, and online courses.	Rust has a steeper learning curve compared to Python, especially for beginners. However, it has a number of resources available for learning, including books, tutorials, and online courses.

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