A collection of useful and tested Conda environments

• taiga: The main user environment for Larch. Includes a variety of supplemental machine learning and visualization tools.
• greenhouse: The development environment for Larch. Does not actually install Larch from the publicly available pre-built binaries, as it is assumed that Larch will be installed locally in develop mode.
• tower: An environment containing only the jupyter lab packages. Sometimes installing the full suite of Jupyter tools in the same computational environment as the analytical tools doesn't play nice. This also allows updating just Jupyter or just the analytical tools independently.