How Can You Use MATLAB With Python Together? A Detail Guide.

This blog provides some helpful hints for using MATLAB with Python together.

We’ll speak about how to use MATLAB with Python together! (It’s possible!) (It certainly does!) If you’re a student, work in research, or work in industry, you’ve come across instances when you’ve had to combine work from multiple languages. 

This is typical in engineering and scientific applications, particularly when several teams and hardware requirements are involved. Researchers at the MIT CSAIL were able to use the strengths of both matlab assignment help to identify the colour and movement changes that were invisible to the naked eye, thanks to this partnership.

Why not take advantage of all this wonderful work, irrespective of language preference!? There’s a large community working on cool algorithms, coaching, and sharing examples in both languages – so why not take full benefit of all this excellent work, regardless of language preference!? This air quality prediction tool and this sentiment analysis system, for example, were created using MATLAB with Python. For AI applications, the two languages are widely used jointly. This blog will teach you how to combine MATLAB with Python. We’ll presume you have a basic understanding of both languages and provide connections to more advanced material.


MATLAB is a multi-paradigm programming environment that lets you do things like:

  • to plot data,
  • manipulate matrices, a
  • and create user interfaces.

MATLAB may use high-level programming languages like:

  • JAVA,
  • C,
  • C++,
  • and Python with the interfaces.

Put another way, MATLAB is a programming language that works in a multi-paradigm numerical computing environment. It’s an abbreviation for a Matrix Laboratory, which uses a matrix technique to conduct complex calculations. It was created to do numerical tasks. It is now used to incorporate the symbolic computation toolbox of the MuPAD symbolic engine.

What Is Python?

Python is a well-known programming language. It’s a programming language that can prove to be useful in a variety of scenarios. Python is required for the development of graphical user interfaces, websites, and web applications.  But, as a high-level programming language. Python allows you to focus on the application’s key features by handling routine programming tasks.

The Fundamentals:

First and foremost, let’s get the criteria out of the way. We’ll need Python 3.6 or later, as well as MATLAB R2014b or later (now is a good opportunity to upgrade to R2020a!). Version information can be found here.

This may seem self-evident, but we’ll make sure our code is compatible with MATLAB and Python. Both languages make it simple to update the path.

MATLAB With Python-

Before we get started, let’s make sure MATLAB can locate the Python interpreter. Using the pyenv function in MATLAB, we can achieve this:

The Python version and environment settings are returned, and the pyenv function can be used to change them.

Let’s put Python to work now that we have it! We’ll use the maths library’s sqrt function to get a feel for it. In Python, we refer to it as:

We can use the following syntax to run the same Python method from MATLAB:

In MATLAB and Python, we used format long to represent the same accuracy.

Now let’s broaden the scope of the behaviour. The following syntax is used to access Python modules and functions:

We may also use the dictionary as an index to recall certain values:

We utilised curly brackets instead of parentheses, as you can see (). Curly brackets are commonly used in MATLAB to retrieve values from heterogeneous data formats such as cell arrays and tables. And if you use (), you get a subset of a bigger data collection of the same type, such as a cell array or table. You’ll get the indexed value in its original data types, such as double, string, or char if you use it. As a result, a dict is a heterogeneous data type in the previous example, and we’ll use it to extract the temperature value as a double. Indexing into a Python dict is demonstrated in this example.

These are supplied as name-value pairs to the pyargs function in MATLAB:

Now that we know how to adapt Python syntax to call MATLAB functions, we can proceed to the next step. Why don’t we try it in the opposite direction?

Using Python to call MATLAB-

The MATLAB Engine API for Python allows us to use MATLAB as a calculation engine from Python, allowing us to access our favourite MATLAB functions. We must first install it using the Python package that comes with MATLAB. In an OS prompt, type the following commands:

The directory where MATLAB is installed is known as “matlabroot” (check by calling >> matlabroot in MATLAB). More information about setup can be found on this doc page.

Let’s get to the good stuff! To use MATLAB functions from Python, first import and start the engine (we may alternatively use an existing MATLAB session if one is already open):

Let’s call the square root function now that the engine is running:

It’s worth noting that we’re using 42.0 instead of 42 to call the sqrt function.

Although MATLAB functions are called using their original syntax, there are a ++peculiarities. The way many outputs are captured is one distinction. For example, the MATLAB code returns several sentiments and scores outputs in the sentiment analysis algorithm. Using nargout, we must define the number of outputs:

Similarly, if the MATLAB function has no outputs (for example, if it writes the results to a file), you must specify nargout=0.

To save up system resources, we should terminate the MATLAB engine once we’re done:

We must utilise the function name to use MATLAB operators (such as the renowned backslash operator “\” to solve linear systems of equations) (mldivide). 

Let’s Sum It Up!

This blog has discussed using MATLAB with Python. This blog has detailed you about calling MATLAB with Python or calling python from MATLAB. If students face difficulties regarding python assignments, they can approach the best online experts. They can help you by providing the best solutions for your assignments. I hope this blog helps you in vanishing all your doubts regarding it. Stay connected for upcoming updates.

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