nept 0.1.0

Getting started

If you don’t already have python 3, we recommend you download it using Miniconda from Continuum Analytics.

We recommend using a separate python environment.

Open a new terminal, create and activate a new conda environment:

conda create -n yourenv python=3.5
activate yourenv [Windows] or source activate yourenv [Linux]

Install package dependencies:

conda install matplotlib jupyter scipy numpy pandas seaborn pytest coverage

For Shapely, try:

pip install shapely

If that fails, in Windows, download the most recent wheel file here. Once downloaded, install with wheel.

pip install yourshapelyinstall.whl

Installation

Clone nept from Github and use a developer installation:

git clone https://github.com/vandermeerlab/nept.git
cd nept
python setup.py develop

Documentation

conda install ghp-import sphinx numpydoc sphinx_rtd_theme

pip install nbsphinx --user

sphinx-build docs docs/_build

docs/update.sh

Testing

Run tests with pytest.

Check coverage with codecov.

License

The nept codebase is made available under made available under the MIT license that allows using, copying and sharing.

The file nept/neuralynx_loaders.py contains code from nlxio by Bernard Willers, used with permission.

Projects using nept

emi_shortcut

emi_biconditional