### How to use this tool?

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

- Type or paste your Matlab code in the input box.
- Click the convert button.
- The resulting Python code from the conversion will be displayed in the output box.

### Examples

The following are examples of code conversion from Matlab to Python 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.

Matlab

Python

Example 2 - Even or Odd

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

Matlab

Python

### Key differences between Matlab and Python

Characteristic | Matlab | Python |
---|---|---|

Syntax | Matlab uses a proprietary syntax that is similar to traditional programming languages, but with its own unique syntax rules. | Python has a simple and easy-to-learn syntax that emphasizes readability and reduces the cost of program maintenance. |

Paradigm | Matlab is primarily a procedural programming language, but it also supports object-oriented programming. | Python supports multiple programming paradigms, including procedural, object-oriented, and functional programming. |

Typing | Matlab is dynamically typed, which means that variable types are determined at runtime. | Python is dynamically typed, which means that variable types are determined at runtime. |

Performance | Matlab is optimized for numerical computations and has excellent performance for matrix operations and other mathematical computations. | Python is a general-purpose language and is not optimized for numerical computations. However, it has many libraries that provide high-performance numerical computations, such as NumPy and SciPy. |

Libraries and frameworks | Matlab has a large number of built-in libraries and toolboxes for numerical computations, signal processing, image processing, and more. | Python has a vast ecosystem of libraries and frameworks for various purposes, including scientific computing, web development, machine learning, and more. Some popular libraries include NumPy, Pandas, TensorFlow, and Django. |

Community and support | Matlab has a smaller community compared to Python, but it has a dedicated user base and excellent support from MathWorks. | Python has a large and active community of developers and users, with many online resources and forums for support and collaboration. |

Learning curve | Matlab has a relatively steep learning curve, especially for users who are not familiar with programming concepts or mathematical notation. | Python has a gentle learning curve and is easy to learn for beginners. Its simple syntax and extensive documentation make it an excellent choice for new programmers. |