When working with Python in Jupyter Notebook, it can be helpful to have an auto code suggestion experience similar to what is offered by DataCamp. This feature can save time and improve productivity by providing suggestions for completing code as you type. In this article, we will explore three different ways to achieve this auto code suggestion experience in Jupyter Notebook.

Option 1: Jupyter Notebook Extensions

Jupyter Notebook Extensions is a collection of community-contributed extensions that enhance the functionality of Jupyter Notebook. One of these extensions is the “Code Prettify” extension, which provides auto code suggestion as you type. To enable this extension, follow these steps:

1. Install the Jupyter Notebook Extensions package by running the following command in your terminal:

!pip install jupyter_contrib_nbextensions

2. Enable the extension by running the following command in your terminal:

!jupyter contrib nbextension install --user

3. Start Jupyter Notebook and navigate to the “Nbextensions” tab.
4. Enable the “Code Prettify” extension.

With the “Code Prettify” extension enabled, you will now have an auto code suggestion experience similar to DataCamp in Jupyter Notebook.

Option 2: JupyterLab

JupyterLab is the next-generation user interface for Jupyter Notebook. It provides a more modern and flexible environment for working with Jupyter Notebook. JupyterLab has built-in support for auto code suggestion, making it a great option for achieving the DataCamp-like experience. To use JupyterLab, follow these steps:

1. Install JupyterLab by running the following command in your terminal:

!pip install jupyterlab

2. Start JupyterLab by running the following command in your terminal:

!jupyter lab

Once JupyterLab is running, you can create a new notebook and start experiencing the auto code suggestion feature.

Option 3: Kite

Kite is an AI-powered coding assistant that integrates with popular code editors, including Jupyter Notebook. It provides intelligent code completions and suggestions based on the context of your code. To use Kite with Jupyter Notebook, follow these steps:

1. Install the Kite engine by running the following command in your terminal:

!pip install kite

2. Install the Kite Jupyter Notebook extension by running the following command in your terminal:

!jupyter labextension install "@kiteco/jupyterlab-kite"

Once the installation is complete, restart Jupyter Notebook and you will have the Kite auto code suggestion feature available.

After exploring these three options, it is clear that JupyterLab provides the best auto code suggestion experience similar to DataCamp. It is a modern and feature-rich environment that offers built-in support for auto code suggestion. While the Jupyter Notebook Extensions and Kite options also provide auto code suggestion, they require additional installation steps and may not offer the same level of integration and functionality as JupyterLab.