TabPy is a Python server that allows you to execute Python code and scripts from within Tableau. With TabPy, you can leverage the full capabilities of Python libraries and packages directly in your Tableau visualizations and calculations. This integration enables you to use Python’s machine learning algorithms, statistical functions, and other advanced analytics within Tableau.

For example, you can use Python to create custom calculations, perform predictive modeling, or run complex data transformations, and then use the results to create visualizations in Tableau. TabPy acts as a bridge between Tableau and Python, facilitating the communication between the two.

Tableau Python Integration (Tableau Prep and Tableau Desktop):

Tableau Prep and Tableau Desktop (version 2020.2 and later) allow you to leverage Python scripts within the data preparation and data cleansing process. You can use Python scripts to transform, clean, and reshape data before bringing it into Tableau for visualization.

Tableau’s Python integration also enables the use of external Python libraries and functions to enrich your data preparation process. By integrating Python scripts into Tableau Prep and Tableau Desktop, you can handle more complex data transformation tasks that may not be achievable using Tableau’s built-in features alone.

Keep in mind that to use Python with Tableau, you need to have Python installed on your system and set up the necessary configurations for integration. Additionally, you may need to ensure that the required Python libraries and packages are available for your analysis or visualization needs.

By combining Tableau with Python, you can extend the capabilities of both tools and create more advanced, customized, and data-driven visualizations and analyses. This integration is particularly useful for data professionals who want to leverage the power of Python’s data manipulation and machine learning capabilities in conjunction with Tableau’s intuitive data visualization features.