Difference between revisions of "Webapps with python"

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[[File:orographic_lifting_tool_python.png|thumb|450px|Atmospheric quantities with orographic uplift [http://oro.wa.pathirana.net/ LINK]]]
[[File:orographic_lifting_tool_python.png|thumb|450px|Atmospheric quantities with orographic uplift [http://oro.wa.pathirana.net/ LINK]]]


===[https://lcc.wa.pathirana.net/ Life-cycle Costing Tool]===
===[http://citypop.wa.pathirana.net/ Urban population of the world]===
[[File:life_cycle_costing_tool_python.png|thumb|450px|Life-cycle cost calculator. [https://lcc.wa.pathirana.net/ LINK]]]
[[File:citypop_tool_python.png|thumb|450px|Urban population of the world. Selected 13000 urban centres from around the world. [https://citypop.wa.pathirana.net/ LINK]]]

Revision as of 12:05, 1 September 2019

Webapps with python

Interactive map, analysis and plotting tool for precipitation

Python has a number of libraries that makes creating graphics based on data. Some of these tools can create interactive graphics and also web applications so that one can allow non-programmers to explore, analyse and visualize data. Ploty Dash is such a library with a particularly easy learning curve.

Here are some prototype applications that were created using this library. I use docker containers based on dokku -- a PaaS (Platform as a Service) --to host these apps.

Life-cycle Costing Tool

Life-cycle cost calculator. LINK

Orographic lift of wind fields - atmospheric quantities calculator

Atmospheric quantities with orographic uplift LINK

Urban population of the world

Urban population of the world. Selected 13000 urban centres from around the world. LINK