Installation

The extension consists of a pypi package that includes a javascript notebook extension, along with a python jupyter server extension. Since Jupyter 4.2, pypi is the recommended way to distribute nbextensions. The extension can be installed

• from the master version on the github repo (this will be always the most recent version)

• via pip for the version hosted on pypi

From the github repo or from Pypi,

1. install the package

   • pip3 install https://github.com/wenmin-wu/jupyter-tabnine/archive/master.zip [--user][--upgrade]

   • or pip3 install jupyter-tabnine [--user][--upgrade]

   • or clone the repo and install git clone https://github.com/wenmin-wu/jupyter-tabnine.git

     python3 setup.py install

2. install the notebook extension

   jupyter nbextension install --py jupyter_tabnine [--user|--sys-prefix|--system]

3. and enable notebook extension and server extension

   jupyter nbextension enable --py jupyter_tabnine [--user|--sys-prefix|--system]
   jupyter serverextension enable --py jupyter_tabnine [--user|--sys-prefix|--system]

For Jupyter versions before 4.2, the situation after step 1 is more tricky, since the --py option isn’t available, so you will have to find the location of the source files manually as follows (instructions adapted from [@jcb91](https://github.com/jcb91)’s jupyter_highlight_selected_word). Execute

python -c "import os.path as p; from jupyter_tabnine import __file__ as f, _jupyter_nbextension_paths as n; print(p.normpath(p.join(p.dirname(f), n()[0]['src'])))"

Then, issue

jupyter nbextension install <output source directory>
jupyter nbextension enable jupyter_tabnine/jupyter_tabnine

where <output source directory> is the output of the first python command.

Tips

• A shortcut is added to let you switch between Jupyter raw completion and TabNine auto-competion. Just enter shift + space when you want raw completion of Jupyter :)

• Remote auto-completion server is also supported. You may want this to speed up the completion request handing. Or maybe your company want to deploy a compeltion server cluster that services everyone. Refer https://github.com/wenmin-wu/jupyter-tabnine to learn how to deploy remote server.