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With Heather Shapiro (Tech Evangelist, Microsoft).
Tue, Feb 21, 2017 @ 06:30 PM   FREE   Microsoft Reactor at Grand Central Tech, 335 Madison Ave
 
   
 
 
              

      
 
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AGENDA

6:30PM - PIZZA & NETWORKING: Doors open, head to theMicrosoft Reactor on the 4th floor.Food & drinks will be served, courtesy of Microsoft. Take the opportunity to mingle with your fellow community developers.

7:00PM - INTRODUCTION: Welcome & community announcements

7:15PM - MAIN PRESENTATION: See abstract below.

*IMPORTANT: Your RSVP with full name is required to add your name to the building security guest list.


MAIN PRESENTATION

An End to Boring Data with Visualizations in Python

Heather Shapiro, Technical Evangelist, Microsoft

Put the days of trying to decipher meaning from boring spreadsheets behind you. Visualize data to give greater and immediate meaning to all those numbers with Python. We will explore the variety of options available for data visualization in Python using different libraries and understand which ones excel for what type of task. Create maps, statistical graphs and more detailed or interactive visualizations that can also be used on the web, ideal to take that blog post to a whole new level. We will tackle boring data by looking at python libraries available for mapping such as basemap and folium, statistical graphs from libraries such as matplotlib and seaborn, as well as libraries such as Bokeh and Plotly that can be used for making interactive graphs.




ABOUT THE PRESENTER

Heather Shapiro is a Technical Evangelist in Microsoft's Developer Experience group, where she educates developers on Microsoft's new technologies. In this role, Heather works closely with students and developer communities across the North East to understand the newest technologies and architectures. Prior to becoming a Technical Evangelist, Heather completed her undergraduate degree at Duke University and graduated in the Class of 2015. She received her Bachelors of Science in Computer Science and Statistical Science, and completed an Honors Thesis about employing Bayesian Approaches to Understanding Music Popularity. Heather blogs at http://microheather.com and tweets at http://twitter.com/microheather.


 
 
 
 
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