Large-scale visualisation/analysis platform for climate data

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Description

Many analysis tasks in climate research are mean and/or variance calculations over small (but many) netcdf files. Currently these analysis tasks are done in Python using numpy and xarray.

The goal of this project is to develop an interactive web-framework/interface to these basic analysis frameworks using plotly, mpl3d

Tasks

  • getting familiar with the firmware update procedures of different hardware vendors like e.g. IBM, HP, Dell, SuperMicro
  • implement scripts that use the firmware update tools provided by the vendors to check for available updates
  • integrate the scripts into the SCC monitoring system

Requirements

  • Programming experience in Python and HTML as well as Javascript

Contact

Cayoglu@kit.edu

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