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Chris Parmer on dash

From Dash - A New Framework for Building User Interfaces for Technical Computing | SciPy 2017 | Chris Par · · Enthought

“I'm Chris Parmer, I'm a co-founder of Plotly and today I'm going to present a project that I just released three weeks ago that's called Dash — it's a framework for building web applications in pure Python so no JavaScript required.”

Chris Parmer
Cofounder, Plotly
dashweb frameworkspython

On , Chris Parmer, Cofounder at Plotly, spoke about dash during Dash - A New Framework for Building User Interfaces for Technical Computing | SciPy 2017 | Chris Par on Enthought.

Dash - A New Framework for Building User Interfaces for Technical Computing | SciPy 2017 | Chris Par
Watch on YouTube
Dash - A New Framework for Building User Interfaces for Technical Computing | SciPy 2017 | Chris Par
Enthought
Watch on YouTube
If you are a data scientist today, it's actually pretty tough to build a data visualization web-application. If you're not a full-stack developer, you're practically out of luck. But GUIs like sliders, dropdowns, and text inputs are extremely helpful to the data scientist or engineer. If you're an R programmer, you're in luck with Shiny. If you're a MATLAB programmer, you can use GUIDE (but good luck sharing it!). The dash project introduces a framework for building web-based technical computing apps (GUIs). It's like a Shiny for Python. dash is built off of plotly.js and react.js to provide rich interactive graphing and user interfaces and Python's flask to provide a simple but scalable web server. This talk will introduce the scientific community to Dash. We'll go over motivations behind the project, the basic architecture of the framework, several interactive examples, and leave with a vision for the future of interactive and sharable technical computing.
Chris Parmer

About Chris Parmer

Cofounder · Plotly

Chris Parmer, cofounder of Plotly, presented the open-source framework Dash at SciPy 2017 and PLOTCON 2016. He described Dash as a framework for building web-based user interfaces for technical computing using only Python, without requiring JavaScript, HTML, or CSS. Parmer stated that Dash is built on top of plotly.js and react.js, and that it allows data scientists to create interactive web applications with components such as sliders, dropdowns, and graphs, with the application state stored in the web browser rather than on the server. He noted that Dash is licensed under MIT and that Plotly funds its open-source work through enterprise add-ons and deployment servers. Parmer emphasized that Dash is designed to address the difficulty data scientists face in building data visualization web applications without full-stack development skills. He compared Dash to Shiny for R, stating that it enables users to write applications entirely in Python. Parmer also discussed how Plotly's engineers work on open-source software, including Dash and the JavaScript graphing library, and that the company offers enterprise platforms for deploying Dash apps with features like LDAP and Active Directory authentication.

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