.. Copyright 2018 Peter K. G. Williams and collaborators. Licensed under the Creative Commons Attribution-ShareAlike 4.0 International License. How to Install *neurosynchro* ============================= *Neurosynchro* is a pure-Python package, so it is not difficult to install by itself. However, it requires heavyweight Python libraries like `Keras `_, which contain a lot of compiled code, so the recommended means of installation is though an `Anaconda Python `_ system. Pre-built packages of *neurosynchro* are available through `conda-forge `_, a community-based project that uses the `conda `_ package manager. If you are using a ``conda``-based Python installation, the quickest path to getting *neurosynchro* going is to run the following commands in your terminal:: $ conda config --add channels conda-forge $ conda install neurosynchro Note, however, that ``conda-forge`` provides rebuilds of virtually every package in the stock Anaconda system, and this installation method will configure your system to prefer them. You may suddenly see lots of package version changes related to this. You can install *neurosynchro* without committing to using ``conda-forge`` for everything by skipping the ``conda config`` command and instead running:: $ conda install -c conda-forge neurosynchro In the author’s experience, however, it is better to go the first route. This latter route won’t get package updates from ``conda-forge`` and can lead to vexing dependency mismatches further down the line. Finally, it is also possible to try to install *neurosynchro* through `pip `_ in the standard fashion, with ``pip install neurosynchro``. However, as mentioned above, this can easily get hairy if one of the big binary dependencies isn’t available. See `neurosynchro’s requirements list `_ for a list of what you’ll need.