Going Beyond Matplotlib and Seaborn: A survey of Python Data Visualization Tools
Going Beyond Matplotlib and Seaborn: A survey of Python Data Visualization Tools

Abstract: 

Data practitioners have long complained about the dearth of easy to use, flexible data visualization tools in the Python ecosystem. In this talk, attendees will hear about some lesser known but powerful and easy to use tools for high quality data visualizations in Python, including plotnine, bokeh, Altair, and Plotly. We’ll discuss the pros and cons to using each, and get an overview of their basic syntax. Set aside Matplotlib and seaborn, and get into a new universe of beautiful charts and graphs in Python!

Bio: 

Stephanie is a Senior Data Scientist at Saturn Cloud, a company making large scale Python easy and accessible to the data community using Dask. Throughout her career, she's used varied tools to make effective data visualizations, including as a DS Tech Lead at a travel data startup, and as a Senior Data Scientist at Uptake, an industrial data science company. She holds Master's degrees in sociology and education, and was formerly an adjunct faculty member at DePaul University in Chicago.

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