---
id: tutorial-jupyter-index
title: "Jupyter Notebook tutorials"
---

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<!-- tutorial-jupyter-index.md and examples/quickstart/juptyer-notebooks/README.md
    share a lot of the same content. If you make a change in one place, update the other
    too. -->

You can try out the Druid APIs using the Jupyter Notebook-based tutorials. These
tutorials provide snippets of Python code that you can use to run calls against
the Druid API to complete the tutorial.

## Prerequisites

Make sure you meet the following requirements before starting the Jupyter-based tutorials:

- Python 3.7 or later

- The `requests` package for Python. For example, you can install it with the following command:

   ```bash
   pip3 install requests
   ```

- JupyterLab (recommended) or Jupyter Notebook running on a non-default port. By default, Druid
  and Jupyter both try to use port `8888`, so start Jupyter on a different port.


  - Install JupyterLab or Notebook:

    ```bash
    # Install JupyterLab
    pip3 install jupyterlab
    # Install Jupyter Notebook
    pip3 install notebook
    ```
  - Start Jupyter using either JupyterLab
    ```bash
    # Start JupyterLab on port 3001
    jupyter lab --port 3001
    ```

    Or using Jupyter Notebook
    ```bash
    # Start Jupyter Notebook on port 3001
    jupyter notebook --port 3001
    ```

- An available Druid instance. You can use the [Quickstart (local)](./index.md) instance. The tutorials
  assume that you are using the quickstart, so no authentication or authorization
  is expected unless explicitly mentioned.

  If you contribute to Druid, and work with Druid integration tests, can use a test cluster.
  Assume you have an environment variable, `DRUID_DEV`, which identifies your Druid source repo.

  ```bash
  cd $DRUID_DEV
  ./it.sh build
  ./it.sh image
  ./it.sh up <category>
  ```

  Replace `<category>` with one of the available integration test categories. See the integration
  test `README.md` for details.

## Simple Druid API

One of the notebooks shows how to use the Druid REST API. The others focus on other
topics and use a simple set of Python wrappers around the underlying REST API. The
wrappers reside in the `druidapi` package within the notebooks directory. While the package
can be used in any Python program, the key purpose, at present, is to support these
notebooks. See the [Introduction to the Druid Python API]
(https://github.com/apache/druid/tree/master/examples/quickstart/jupyter-notebooks/python-api-tutorial.ipynb)
for an overview of the Python API.

## Tutorials

The notebooks are located in the [apache/druid repo](https://github.com/apache/druid/tree/master/examples/quickstart/jupyter-notebooks/). You can either clone the repo or download the notebooks you want individually.

The links that follow are the raw GitHub URLs, so you can use them to download the notebook directly, such as with `wget`, or manually through your web browser. Note that if you save the file from your web browser, make sure to remove the `.txt` extension.

- [Introduction to the Druid REST API](
  https://raw.githubusercontent.com/apache/druid/master/examples/quickstart/jupyter-notebooks/api-tutorial.ipynb)
  walks you through some of the basics related to the Druid REST API and several endpoints.
- [Introduction to the Druid Python API](
  https://raw.githubusercontent.com/apache/druid/master/examples/quickstart/jupyter-notebooks/Python_API_Tutorial.ipynb)
  walks you through some of the basics related to the Druid API using the Python wrapper API.
- [Introduction to Druid SQL](https://raw.githubusercontent.com/apache/druid/master/examples/quickstart/jupyter-notebooks/sql-tutorial.ipynb) covers the basics of Druid SQL.