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The application

  • Flask - application
  • Jinja/Javascript - Front end
  • Blaze - data manipulation
  • Bokeh - takes in Blaze and exports Bokeh

The api

Call python functions and data using a URI schema.

# *kwargs
/api/module/method?arg1=/data/dataname&arg=/module2/method2/data/dataname
# *args
/api/module/method?[/data/dataname,/module2/method2/data/dataname]

Sample methods to load

multiply: /operator/mul?[/data/iris/sepal_length,10]
setosa: /blaze/like/data/iris?species=[setosa]
real: /pandas/read_csv?filepath_or_buffer=http://www.betfairpromo.com/betfairsp/prices/dwbfpricesukwin07092015.csv
new: /blaze/by/data/iris/species?max=/blaze/max/data/iris/sepal_length
iris: /blaze/transform/data/iris?ratio=/operator/truediv?[/data/iris/sepal_length,/data/iris/sepal_width]
sorted: /blaze/sort?child=/data/iris&key=sepal_length&ascending=No

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An Interactive Interface to Explore Column Data with Bokeh

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