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Effective Visualizations with Python

Effective Visualizations with Python

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Abstract

Effective data visualization is critical to communicating results and convincing people to take action. As developers we are always looking to save time and write more clear code. All projects use static graphs, and we see growing interest in interactive visualizations that help us find insights. In this talk, we'll learn about what makes visualizations effective, shed some light on the powerful but complex Matplotlib library. Finally, we'll look at Bokeh - a more modern library, and create static, interactive and streaming visualizations.

GitHub: https://github.com/surfaceowl-ai/python_visualizations

Speaker

Chris Brousseau is a Data Scientist and Founder of Surface Owl, a SaaS-based visual decision engine built on Python. He is also an active member of BayPiggies and several other local Python communities. Before Surface Owl, Chris spent over 18 years at Accenture where he did business and systems consulting for global clients. On a personal note, Chris is a native Vermonter, an avid skier, and loves visualizations.

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