gridded_data

Repo for "Workflows for gridded climate datasets" waterhackweek tutorial

Run tutorial notebooks in the cloud

By far the easiest way to run the notebooks that are part of this tutorial is to click the launch binder button. This will use the binder service made available by pangeo to create a docker container based on this repository and launch it in the cloud. Don't worry if this does not mean anything to you. Just hit the button:

If you do want to install the notebooks locally or in your , then by all means follow the instructions below. In that case you want to use the master branch rather than the binder branch.

conda environment and jupyter

• The conda environment file environment.yml doesn't install jupyter. It assumes that you already have conda installed (or miniconda) and a working setup for running jupyter notebooks. To create a conda environment named whw_gridded_data from this file: conda env create -f environment.yml

• To install that environment as a kernel in your jupyter setup: conda activate whw_gridded_data; ipython kernel install --user --name whw_gridded_data

Install miniconda and setup jupyter lab

Steps taken from https://geohackweek.github.io/preliminary/01-conda-tutorial/ Instructions for MacOSX (and Windows?) are also available there.

On linux:

# Install miniconda
url=https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh
wget $url -O miniconda.sh
bash miniconda.sh -b -p $HOME/miniconda3
export PATH="$HOME/miniconda3/bin:$PATH"
conda update conda --yes

# Create a conda environment with jupyterlab
conda create -n jupyterlab -c conda-forge python=3.6 jupyterlab nb_conda_kernels

# Starting jupyter lab
conda activate jupyterlab
# If that doesn't work, try source activate jupyterlab
jupyter lab

Other WaterHackWeek resources

• https://waterhackweek.github.io/
• https://www.cuahsi.org/education/cyberseminars/waterhackweek-cyberseminar-series/