The easiest path is to select the bright neon green button “Clone or download” and select to download the zipped folder directly to your machine. TabPy has fantastic installation instructions for all operating systems on the GitHub page. You will need:ġ) PC/Mac running Tableau Desktop 10.1 (admin-level access advised)Ĥ) 30 minutes – start to finish (seriously) Let’s check out how easy it is to get started! I was naturally excited to hear about Tableau’s Python integration and discovered it has a similar set-up and usage as R-integration. R, but both are extremely powerful in their own way. Trained as a Java developer, I’m personally a Python fan because I find it easier to read/write Python vs.
It made R a lot more accessible and approachable for teams kicking off data science initiatives. In late 2015, I presented on R-integration within Tableau for the local Twin Cities Tableau User Group and considered it a major step towards advertising powerful (open-source) analytical libraries for broader audiences. I’ve always been a huge fan of Tableau since I first invested my career into data visualization because Tableau is fairly easy to grasp as a beginner and Tableau constantly extends capabilities with APIs for techies (such as myself) to push the envelope on what’s possible.
#INSTALL TABLEAU DESKTOP CODE#
I was really impressed to hear about Tableau announcing the beta release of TabPy – a new API that allows Tableau to evaluate Python code in calculated fields. Like most people, I used the holiday season to brush up on my Python skills while checking out the latest updates on products in the industry.
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