[PyData] ] Data visualization with plotly py: Version 3 and beyond - Jon Mease

PyData DC 2018 We will discuss and demonstrate some of the exciting features that have been added to version 3 of the plotly Python visualization library. These include ipywidgets integration for building ad-hoc dashboards in the Jupyter Notebook, support for exporting publication quality static images, Latex integration, and more. We will conclude with glimpse into the future direction of the project. Slides - https://drive.google.com/open?id=1V8P... === www.pydata.org 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. PyData conferences aim to be accessible and community-driven, with novice to advanced level presentations. PyData tutorials and talks bring attendees the latest project features along with cutting-edge use cases.