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Gridded data tutorial for pre-waterhackweek webinar

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gridded_data

Repo for "Workflows for gridded climate datasets" waterhackweek tutorial

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

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