Перевод python в matlab

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.

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.

Источник

Перевод python в matlab

This free online converter lets you convert code from Python to Matlab 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 Matlab code from the conversion will be displayed in the output box.

Key differences between Python and Matlab

Characteristic	Python	Matlab
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.	Matlab has a syntax that is similar to traditional programming languages, with a focus on matrix operations. It uses semicolons to separate statements and has a static type system.
Paradigm	Python supports multiple programming paradigms, including procedural, object-oriented, and functional programming.	Matlab is primarily a procedural programming language, but it also supports some object-oriented programming concepts.
Typing	Python has a dynamic type system, which means that the type of a variable is determined at runtime.	Matlab has a static type system, which means that the type of a variable is determined at compile time.
Performance	Python is an interpreted language, which can make it slower than compiled languages like Matlab. However, Python has many libraries and frameworks that can improve its performance.	Matlab is a compiled language, which can make it faster than interpreted languages like Python. Matlab also has many built-in functions that are optimized for performance.
Libraries and frameworks	Python has a vast collection of libraries and frameworks for scientific computing, data analysis, machine learning, web development, and more. Some popular libraries include NumPy, Pandas, Matplotlib, and TensorFlow.	Matlab has a large collection of built-in functions and toolboxes for scientific computing, data analysis, and visualization. Some popular toolboxes include Signal Processing Toolbox, Control System Toolbox, and Image Processing Toolbox.
Community and support	Python has a large and active community of developers and users, which means that there are many resources available for learning and troubleshooting. Python also has extensive documentation and many online forums and communities.	Matlab has a smaller community than Python, but it still has a dedicated user base. Matlab also has extensive documentation and many online forums and communities.
Learning curve	Python has a relatively easy learning curve, especially for beginners. Its simple syntax and dynamic type system make it easy to write and read code. Python also has many resources available for learning, including online courses, tutorials, and books.	Matlab has a steeper learning curve than Python, especially for beginners. Its syntax can be more complex, and its static type system can be more challenging to work with. However, Matlab has many resources available for learning, including online courses, tutorials, and books.

Источник

How to convert Python code into matlab

% Wondimu Teka, Toma M.Marinov, Fidel Santamaria (2014) Neuronal Spike Timing Adaptation Described with a Fractional Leaky Integrate-and-Fire Model.

Ncells=1; %number of cells, do not change this value, this code is not for network, it is only for one cell.

Namp=0; %noise amplitude, to add white Gaussian noise with this standard devation Namp, which is noise amplitude

% f=0.1*(2./(1+exp(-t./1500))-1).^3; % frequency in cycle per ms. since time is in ms; the freqency increases from 0 Hz to 100 Hz

% Note:This has the following output out.v=v for voltage; out.sp=sp for spike ; out.Memo2=Memo2 for memery; out.t=t for time;

Direct link to this comment

@Suresh, now that your code is properly formatted, can you explain what this has to do with this question?

Direct link to this comment

Answers (4)

Direct link to this answer

4 Comments

Direct link to this comment

The code above only executes the python code in matlab but if you want to use all matlab capabilities such as the debug part (debugging python code in matlab) the system function is not an option.

Direct link to this comment

Read on: «I have a Python code.how can I convert it into matlab code or is there any option of executing the same using matlab «.

Anyway, a strict convert is theoretically possible (since both languages are Turing-complete), although this conversion is probably either not automatic, or not effecicient. You should either re-write it completely in Matlab, or run it as Python code. Unless you find/write a good Python2Matlab function, I know there are surprisingly good converters sometimes.

Источник