NeuroLibre is at an alpha stage of development, and is not currently open for submissions.

πŸ–±οΈ Local testingΒΆ

Assuming that:

You can easily test your preprint build locally.

1. Install Jupyter BookΒΆ

pip install jupyter-book

2. Manage your dataΒΆ

Given the following minimalistic repository structure:

β”œβ”€β”€ binder
β”‚   β”œβ”€β”€ requirements.txt
β”‚   └── data_requirement.json
β”œβ”€β”€ content
β”‚   β”œβ”€β”€ _build
β”‚   β”œβ”€β”€ notebook.ipynb
β”‚   β”œβ”€β”€ _config.ym
β”‚   └── _toc.yml
└── README.md

Create a directory data at the root of the repository. Install Repo2Data and configure the dst from the requirement file so it points to the data folder.

pip install repo2data

Run repo2data inside your notebook and get the path to the data.

# install the data if running locally, or points to cached data if running on neurolibre
data_req_path = os.path.join("..", "binder", "data_requirement.json")
# download data
repo2data = Repo2Data(data_req_path)
data_path = repo2data.install()

See also

Check this example for running repo2data, agnostic to server data path.

3. Book buildΒΆ

  • Navigate to the repository location in a terminal
cd /your/repo/directory
  • Trigger a jupyter book build
jupyter-book build ./content

See also

Please visit reference documentation on executing and caching your outputs during a book build.