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Plotly Dash - a new library for creating analytic web applications in Python
Title: Intro to Plotly Dash - a new library for creating analytic web applications in Python, no Javascript required. Abstract: Dash simplifies web application development through two simple but powerful abstractions: - A declarative Python interface to rich web components rendered with React.js - Interactivity between components through a functional reactive interface where we write code from the perspective of the “outputs” rather than from the “inputs”. Bio: Charley Ferrari leads the application engineering team at Plotly and is an adjunct instructor teaching data visualization at the City University of New York. At Plotly he provides technical support and builds proofs of concept throughout the Plotly sales process. He works on cases in a wide variety of environments including R, Python, Matlab, and Javascript. Charley has an MS in Data Science from the City University of New York, and a BA in Economics from McGill University. Follow Charley on Twitter @charleyferrari Schedule: 6:00 p.m - 6:30 p.m is time for social. Seminar will start at 6:30 p.m. Please note the office security needs to check your ID for entry. Thanks for your understanding. Our Sponsor: Arity ( )


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    PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R.

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