Execute Python code on the fly and display results in Tableau visualizations:
These instructions explain how to install and start up TabPy Server.
First, ensure that you are using a supported 64-bit Python version. Refer to the README for a list of compatible versions.
To install TabPy on to an environment pip needs to be installed and
updated first:
python -m pip install --upgrade pip
Now TabPy can be install as a package:
pip install tabpy
To start TabPy with default settings run the following command:
tabpy
To run TabPy with custom settings create config file with parameters explained in TabPy Server Configuration Instructions and specify it in command line:
tabpy --config=path/to/my/config/file.conf
It is highly recommended to use Python virtual environment for running TabPy. Check the Running TabPy in Python Virtual Environment page for more details.
To create a version of TabPy that incorporates locally-made changes, use pip to create a package from your local TabPy project and install it within that directory (preferably a virtual environment):
pip install -e .
Then start TabPy just like it was mentioned earlier
tabpy