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Baker Tilly US

Explorer

Overview

Baker Tilly US, LLP (Baker Tilly) is a leading advisory CPA firm dedicated to customized business solutions that generate and sustain growth.

https://bakertilly.com/

215 - Baker Tilly US

Sponsored Sessions

Yes

Data Analyst

Developer

Manufacturing

Tableau

Embedded Analytics

Visualization and Analysis

Yes

Developer

Professional Services

Tableau

Theater

Intermediate

Yes

Session Summary by Einstein

The session showcased building Tableau extensions using just Python through Anvil X. The speaker, with extensive Tableau and Python experience, demonstrated live development of a chat feature extension for a Tableau dashboard, emphasizing the simplicity and power of building Tableau extensions with Anvil X. The session highlighted Anvil X's drag-and-drop UI builder, one-click deployment, real-time logging, and error handling, as well as the ability to work with secure server-side environments. Additionally, the importance of accessing and manipulating dashboard data in real-time was underscored, enhancing the interactivity and functionality of Tableau dashboards.

<html><head /><body>• Anvil X enables the building of Tableau extensions using just Python, which simplifies the creation of interactive data products without needing web development expertise.• The live demo provided a practical example of how to enhance a Tableau dashboard with a chat feature, allowing users to discuss data insights in real-time.• Attendees were encouraged to explore the trexjacket python library (github.com/trexjacket) to get started and to consider Baker Tilly's support options ranging from training to full development of Tableau extensions.</body></html>

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<a href="https://docs.google.com/forms/d/e/1FAIpQLSfnK-8TwV1n7FqNXmJnsQAT6hYTDBRTShgx1CTXvB4mjgEV6w/viewform?usp=pp_url&entry.996201328=1707268090145001Toxq">Report a Concern</a>

Yes

3:00 p.m. Tuesday, Apr 30

Tuesday, Apr 30

Don’t miss a live demo of how to build Tableau Extensions with just Python. By leveraging real-time logging, error-handling, and a drag-and-drop interface, building extensions is a data dev’s dream.