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In order to get the most of this book, you will want to be able to execute the examples in the notebooks, modify them, break the code, and fix it. Pedagogically, that is the best way for you to learn the concepts. Here are the recommended ways in which you can get set up.


We recommend the use of Binder! This is because Binder will automagically setup an isolated and ephemeral compute environment for you with all of the packages needed to run the code in your notebooks. As such, you won't have to wrestle with anything at the terminal. To go there, click on the following button:


Once you're in there, do a final setup step, by opening up a terminal in the Jupyter session, and installing the custom package nams that we wrote, which contains data loaders and solutions.

# In the root directory of the repository
python develop

conda environments

We also recommend the use of conda environments! If you are feeling confident enough to set up a conda environment at the terminal, then follow along. (We'll be assuming you've already cloned the repository locally.)

Leverage the Makefile

We've provided a Makefile with a single command:

make conda

On most *nix systems, that should get you most of the way to having the environment setup.

Alternative: Execute individual commands

If you encounter errors, then you should know that the Makefile command make conda basically wraps the following steps.

Firstly, it creates the conda environment based on the environment.yml file:

conda env create -f environment.yml

Next, it activates the environment:

conda activate nams

We have a custom module for the project, which is called nams, that you will have to install.

# In the root directory of the cloned repository
python develop

Finally, it runs a check on the environment to make sure everything is installed correctly:


venv environments

If you're not a conda user, then you can use venv to create your environment.

Leverage the Makefile

As with the conda commands, you should be able to execute a single Makefile command at your terminal:

make venv

Special heartfelt thanks goes out to GitHub user @matt-land who contributed the venv script.