CMS Sessions – Multi-file data sets using Python: Part 1
CMS Sessions – Multi-file data sets using Python: Part 1.(Bring a laptop) 1pm, Wednesdays.
July 9, 2018
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This Wednesday’s CMS training will be on the Xarray python library. We’ll be covering using the library to virtually combine multiple files, calculate basic climate indices and create simple plots. Basic familiarity with Python is assumed.
The easiest way to follow along is to set up the NCI VDI virtual desktop on your computer – it has access to all the libraries and data that we’ll be using.
https://opus.nci.org.au/display/Help/VDI+User+Guide
If you have trouble setting up VDI you can also install Xarray on your own computer using conda and access data remotely.
conda create -c conda-forge -n xarray-training python=3 xarray dask netcdf4 jupyter
Rooms: ANU – Hales room; UNSW – Boardroom; UMelb – videoconference room Level 5, McCoy Building; Monash – 107 boardroom; UTas – Hubert Wilkins room (3rd floor).
Join from PC, Mac, iOS or Android: https://unimelb.zoom.us/j/741636156 or
join by phone:
Dial: +61 2 8015 2088.
Meeting ID: 741 636 156.
International numbers available: https://zoom.us/u/c6B0M2GFa
or
Join from a H.323/SIP room system:
Dial: SIP:7588@aarnet.edu.au
or
Meeting ID: 741636156