To use the module inside your notebooks, add %autoreload
at the top of your notebook :
%load_ext autoreload
%autoreload 2
Example of module usage :
from leafydex.utils.paths import data_dir
data_dir()
We use nbdime for diffing and merging Jupyter notebooks.
To configure it to this git project :
nbdime config-git --enable
To enable notebook extension :
nbdime extensions --enable --sys-prefix
Or, if you prefer full control, you can run the individual steps:
jupyter serverextension enable --py nbdime --sys-prefix
jupyter nbextension install --py nbdime --sys-prefix
jupyter nbextension enable --py nbdime --sys-prefix
jupyter labextension install nbdime-jupyterlab
You may need to rebuild the extension : jupyter lab build
Plotly works in notebook but further steps are needed for it to work in Jupyterlab :
- @jupyter-widgets/jupyterlab-manager # Jupyter widgets support
- plotlywidget # FigureWidget support
- @jupyterlab/plotly-extension # offline iplot support
There are conflict versions between those extensions so check the latest Plotly README to ensure you fetch the correct ones.
jupyter labextension install @jupyter-widgets/jupyterlab-manager@0.36 --no-build
jupyter labextension install plotlywidget@0.2.1 --no-build
jupyter labextension install @jupyterlab/plotly-extension@0.16 --no-build
jupyter lab build
We use Invoke to manage an unique entry point into all of the project tasks.
List of all tasks for project :
$ invoke -l
Available tasks:
lab Launch Jupyter lab
Help on a particular task :
$ invoke --help lab
Usage: inv[oke] [--core-opts] notebook [--options] [other tasks here ...]
Docstring:
Launch Jupyter lab
Options:
-i STRING, --ip=STRING IP to listen on, defaults to *
-p, --port Port to listen on, defaults to 8888
You will find the definition of each task inside the tasks.py
file, so you can add your own.