Any data driven projects can benefit greatly from a simple, interactive, and easily accessible user interface. Whether your project is in the prototyping stage or you just want a way to quickly get your ideas and research to an audience unfamiliar with the command line, this talk will show you how to quickly turn your python code into interactive web applications.
As an engineer, analyst, or scientist, sharing your work with someone outside of your immediate team can be a challenge. End-users embody many roles with a wide range of technical skill and often times no familiarity with Python or the command line. Findings, key results, and models are frequently boiled down to static graphs, tables, and figures presented in short reports or slideshow presentations. However, engaging research and data analysis is interactive, anticipating the users’ questions and giving them the tools to answer those questions with a simple and intuitive user interface.
Spyre (https://github.com/adamhajari/spyre) is a web application framework for the python developer who may have little knowledge of how web applications works, much less how to build them. Spyre takes care of setting up both the front and back-end of your web application. It uses CherryPy to handle HTTP request logic and Jinja2 to auto-generate all of the client-side nuts and bolts, allowing developers to quickly move the inputs and outputs of their python modules into a browser based application. Inputs, controls, outputs, and the relationships between all of these components are specified in a python dictionary. The developer need only define this dictionary and override the methods needed to generate content (text, tables, and plots).
While Spyre apps are launched on CherryPy’s production-ready server, Spyre’s primary goal is to provide a development path for simple light-weight apps without the need for a designer or front-end engineer. For example, Spyre can be used for:
rapid prototyping and building MVPs data exploration developing educational resources building monitoring tools presenting interactive scientific or analytical results to a non-technical audience just to name a few.
Materials available here: http://bit.ly/pydata2015_spyre