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Ever wonder what an Alteryx C++ developer's favorite code editor is? Or a Python developer's favorite book? Or how about a front-end developer's favorite testing framework? If you answered yes to any of those questions, or just wonder where this is all going, continue reading!
Have you ever wondered how new tools placed on the canvas know what fields are being passed to it? Are they psychic or something? Not at all! It's metadata! The metadata fields Name, Type, Size, Source, and Description are all passed from tool to tool before you even run the workflow. When working with the Python SDK, you are in charge of building and passing that information to downstream tools. This blog post will explain what that entails and how to implement it in your Python-driven plugin.
Have you ever wanted to be notified if a workflow ran into an issue? Or get push notifications when incoming data quality didn't meet your standards? Check out the Twilio SMS Alert tool, which will send you a text message based on the tool's incoming data.
No one likes to see an error message, but as an Alteryx tool developer, you have the ability to make seeing an error a useful experience that helps guide the user through configuring your tool. This article will show you how to add error messages through the macro back-end or the front-end.
Do you interact with REST APIs? Do you format your data as JSON using multiple Alteryx Designer tools? If so, you should download the attached JSON Build tool. The JSON Build tool provides a way to quickly and easily format your data as JSON.
Want to leverage Alteryx capabilities in a web-app? Maybe you want to create your own data connector. Come as we introduce you to all of our developer tools so that you can show US what Alteryx is truly capable of.
If you haven't had a chance, please checkout the Decision 2016 Presidential Election application. The app predicts who the winning candidate will be within a given U.S. neighborhood, as well as breaks down the outcome by demographics such as age, education, income, and race. Data from SurveyMonkey and the blending, spatial, predictive and Gallery API functions in Alteryx are used to create predictions that are beautifully displayed with help from Carto and Tableau. This post will walk through the architecture that was used to accomplish this.
Recently we celebrated the launch of our long anticipated Tool Mastery Series, a collective of Knowledge Base articles tasked with communicating the most inspired uses of each Alteryx tool. Check out how we automated all the hard parts and brought the series to life!