Contents

1. Python
2. Singularity

Python

Basic Python tutorials

• Datacamp (some basic courses are for free) Learn R, Python & Data Science Online | DataCamp

Useful python packages for working with climate and geospatial data

• xarray - analysing netCDF files (N-labeled arrays and datasets): here is the documentation and here a tutorial

• geopandas - handling geospatial data based on pandas format: here is the documentation and here a tutorial

• pandas - all you need for tabular data

• dask - parallelisation using xarray datasets: here is a (tutorial)(https://github.com/dask/dask-tutorial)

• regionmask - masking gridded data: here is the documentation

Python Integrated Development Environment (IDE)

Python on Piz Daint: Python (cscs.ch)

JupyterLab on Piz Daint: JupyterLab (cscs.ch)

Singularity

Build a singularity container:

1. build sandbox: sudo singularity build --sandbox /new.sand old.cont
2. edit the sandbox sudo singularity exec --writable /new.sand bash
3. create the container from the sandbox sudo singularity build /home/user/singularity/new.cont /new.sand