To call Python libraries from MATLAB, you need to install a supported version of the reference implementation (CPython) for Python. MATLAB supports versions 2.7, 3.3, 3.4, and 3.5. The version you install depends on the libraries you are using. For information, see Install Supported Python Implementation
For help on the Python language, see
For help on third-party or user-defined modules, refer to the product
To call MATLAB functions from Python applications, see MATLAB Engine API for Python.
||Capture error information for Python exception|
How to verify you have installed a supported version of Python.
Different behaviors between MATLAB variables and Python objects.
How to find help for Python functions.
How to use Python
import and MATLAB
Create a Python module used by examples in this documentation.
This example shows how to reload a modified Python module.
How to install a supported version of Python from
Python features not supported in MATLAB.
Troubleshooting failures loading Python.
MATLAB types that are not supported in Python.
MATLAB automatically converts compatible Python data to MATLAB data. For Python types that do not have compatible MATLAB types, MATLAB provides functions to convert Python data types to MATLAB types manually.
You can access data in Python container objects, like lists and dictionaries, with index values, similar to referencing an element in a MATLAB matrix. There are, however, ways to index into matrices which are not supported for these Python types.
MATLAB catches exceptions thrown by Python and
converts them into a
Tips to determine if an error originates in Python or MATLAB code.