How to use this book¶
While we provide a rendered version of the interactive material, in some cases the outputs of the code may be hidden by default. To experiment and interact with the Python code, we suggest the following pathways to do this:
Public users: interact through a cloud-based Binder service¶
This will work well for many of the simple examples. We use the Pangeo binder which comes with most of the scientific packages in Python use in the examples. In addition, it allows using distributed processing which in certain examples accelerates computing the results.
Anyone: run the code in your own Python environment¶
Following the guidelines of Brian Rose for The Climate Laboratory book, you will need to:
You will need the following:
Basic knowledge of version control with git
Basic knowledge of Jupyter notebooks
The first step is to clone the source repository for this book on github.
Once you have the source repo, the following commands will create a self-contained conda environment with everything you need to run the notebooks (Mac, Linux and Windows).
From within the enviromental-ai-book directory in your favorite terminal, do this:
conda env create --file environment.yml
conda activate envai-book
Then find all the Jupyter notebook *.ipynb files in enviromental-ai-book/book
You may find it useful to do all your work in a separate git branch,
and leave your main branch untouched, so you can keep it up to date with
the source repository.