How to get autocomplete in jupyter notebook without using tab?

Question

There is an extension called Hinterland for jupyter, which automatically displays the drop down menu when typing. There are also some other useful extensions.

In order to install extensions, you can follow the guide on this github repo. To easily activate extensions, you may want to use the extensions configurator.

The auto-completion with Jupyter Notebook is so weak, even with hinterland extension. Thanks for the idea of deep-learning-based code auto-completion. I developed a Jupyter Notebook Extension based on TabNine which provides code auto-completion based on Deep Learning. Here's the Github link of my work: jupyter-tabnine.

It's available on pypi index now. Simply issue following commands, then enjoy it:)

pip3 install jupyter-tabnine
jupyter nbextension install --py jupyter_tabnine
jupyter nbextension enable --py jupyter_tabnine
jupyter serverextension enable --py jupyter_tabnine

I would suggest hinterland extension.

In other answers I couldn't find the method for how to install it from pip, so this is how you install it.

First, install jupyter contrib nbextensions by running

pip install jupyter_contrib_nbextensions

Next install js and css file for jupyter by running

jupyter contrib nbextension install --user

and at the end run,

jupyter nbextension enable hinterland/hinterland

The output of last command will be

Enabling notebook extension hinterland/hinterland...
      - Validating: OK

As mentioned by @physicsGuy above, You can use the hinterland extension. Simple steps to do it.

Installing nbextension using conda forge channel. Simply run the below command in conda terminal:

conda install -c conda-forge jupyter_nbextensions_configurator

Next Step enabling the hinterland extension. Run the below command in conda terminal:

jupyter nbextension enable hinterland/hinterland

That's it, done.

Without doing this %config IPCompleter.greedy=True after you import a package like numpy or pandas in this way; import numpy as np import pandas as pd.

Then you type in pd. then tap the tab button it brings out all the possible methods to use very easy and straight forward.