Evaluate local Wolfram Language code directly from Python with a persistent kernel session.
Using a Wolfram notebook...
Create a local Wolfram Language session
Import the module:
from wolframclient.evaluation import WolframLanguageSession
Create a session using the default path:
session = WolframLanguageSession()
- The default path depends on the environment and may also depend on the version of the Wolfram Engine being used.
- To create a session with a nondefault path, provide the path to the Wolfram Engine as the first argument, e.g.: WolframLanguageSession(‘C:/Program Files/Wolfram Research/Mathematica/12.0/wolfram.exe’).
Evaluate Wolfram Language expressions
Import the function:
from wolframclient.language import wlexpr
Compute the squares of an array of integers:
session.evaluate(wlexpr('Map[#^2 &, Range[5]]'))
End the the session
Terminate the session object:
session.terminate()
- The session must be terminated to properly shut down the Wolfram Engine process.
Using a Jupyter notebook...
Create a local Wolfram Language session
Import the module:
Create a session using the default path:
- The default path depends on the environment and may also depend on the version of the Wolfram Engine being used.
- To create a session with a nondefault path, provide the path to the Wolfram Engine as the first argument, e.g.: WolframLanguageSession(‘C:/Program Files/Wolfram Research/Mathematica/12.0/wolfram.exe’).
Evaluate Wolfram Language expressions
Import the function:
Compute the squares of an array of integers:
End the the session
Terminate the session object:
- The session must be terminated to properly shut down the Wolfram Engine process.
Using the command line...
Create a local Wolfram Language session
Open a terminal window and invoke the Python interpreter:
$ python
Import the module:
>>> from wolframclient.evaluation import WolframLanguageSession
Create a session using the default path:
>>> session = WolframLanguageSession()
- The default path depends on the environment and may also depend on the version of the Wolfram Engine being used.
- To create a session with a nondefault path, provide the path to the Wolfram Engine as the first argument, e.g.: WolframLanguageSession(‘C:/Program Files/Wolfram Research/Mathematica/12.0/wolfram.exe’).
Evaluate Wolfram Language expressions
Import the function:
>>> from wolframclient.language import wlexpr
Compute the squares of an array of integers:
>>> session.evaluate(wlexpr('Map[#^2 &, Range[5]]'))
[1, 4, 9, 16, 25]
End the the session
Terminate the session object:
>>> session.terminate()
Exit the Python shell:
>>> exit()
- The session must be terminated to properly shut down the Wolfram Engine process.
Notes
This workflow requires the Wolfram Client Library for Python to be installed. See the workflow Install the Wolfram Client Library for Python for more information.
The Python interpreter must be Python 3.5 (or higher).