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Up and Down the Python Data & Web Visualization Stack by Rob Story PyData SV 2014


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In the past two years, there has been incredible progress in Python data visualization libraries, particularly those built on client-side JavaScript tools such as D3 and Leaflet. This talk will give a brief demonstration of many of the newest charting libs: mpld3 (using Seaborn/ggplot), nvd3-python, ggplot, Vincent, Bearcart, Folium,and Kartograph will be used to visualize a newly-released USGS/FAA wind energy dataset (with an assist from Pandas and the IPython Notebook). After a demo of the current state of Python and web viz, it will discuss the future of how the Python data stack can have seamless interoperability and interactivity with JavaScript visualization libraries.

Published in: Technology, Education

Up and Down the Python Data & Web Visualization Stack by Rob Story PyData SV 2014

  1. 1. Up and Down the Python Data & Web Visualization Stack
  2. 2. Hi. I’m Rob Story @oceankidbilly
  3. 3. I work for DataPad We’re building a visual data analytics platform. It’s awesome. ! Sign Up: ! We’re Hiring!
  4. 4. Visualization in python We’ve come a long way.
  5. 5. 2012 Matplotlib Chaco 2014 Matplotlib Bokeh Vincent Seaborn ggplot Vispy
  6. 6. “Why doesn’t everyone work together to build one python charting library?” “Why doesn't everyone work together to write one programming language?” =
  7. 7. choices are signs of a healthy ecosystem We need more visualization libraries, and they should be opinionated
  8. 8. The future present is web visualization
  9. 9. IPython = Browser javascript languages
  10. 10. The New Stacks ggplot seaborn matplotlib Vincent Bearcart Rickshaw Folium
  11. 11. Demo
  12. 12. THE FUTURE
  13. 13. Ipython Julia R Gadfly rCharts
  14. 14. IPython Coms + Widgets + Visualization
  15. 15. Python Backbone D3
  16. 16. Sticky
  17. 17. Thank you! questions?