docs/tutorial/setup.mdx

Rama master · réplica de lectura del repositorio original.

---
title: "Setting Up your Tutorial Environment"
sidebarTitle: "Environment setup"
---

In this step you will setup the environment needed for running the tutorial and using Elementary.

## Before you start:

<Info>

**Prerequisites**

For the tutorial you will need:

1. A working Python installation
2. [pip installer](https://pip.pypa.io/en/stable/) for Python
3. Access and credentials to a data warehouse supported by Elementary

We also recommend you work with a [Python virtual environment](https://docs.python.org/3/library/venv.html).

</Info>

## Setting Up Your Tutorial Project:

<Accordion title="dbt core">

### 1. Initialize a New dbt Project:

Name the project `elementary_tutorial`:

```shell
dbt init elementary_tutorial
```

Ensure that you have a working connection to your DWH. To troubleshoot, you can run **dbt debug**.

### 2. Download tutorial sample data and models

We created a dbt project and sample data for the tutorial.
[Download the files here](https://github.com/elementary-data/elementary-tutorial/archive/refs/heads/main.zip).

### 3. Copy files to the `elementary_tutorial` project

Copy the following downloaded directories to your local `elementary_tutorial` project:

- Replace the `/seeds` folder in the project with the downloaded `/seeds` directory.
- Replace the `/models` folder in the project with the downloaded `/models` directory.

### 4. Seed Data to the DWH

Populate the sample data:

```shell
dbt seed
```

</Accordion>
<br />
<Accordion title="dbt cloud">

#### 1. Fork the Elementary Tutorial Repo

We created a dbt project to help us with the tutorial.
The project is an extended version of the dbt **jaffle shop** project.
It contains seeds and models that we will use to run Elementary's tests on, and collect artifacts.

In order to load the tutorial project into your dbt cloud environment, you need to fork the repo and connect a new project to it.

To fork the the tutorial repo, go to the [tutorial repo](https://github.com/elementary-data/tutorial) and click on the `fork` button.

#### 2. Create a new dbt Project

To create a new project in dbt cloud, go to `Account Settings` and click on the `New Project` button under the `Projects` section.<br/> Create a new project named `elementary_tutorial`.

<Warning>**Make sure you name the project `elementary_tutorial`.**</Warning>

#### 3. Connect to the Tutorial Repo

Connect to the forked repository.

#### 4. Seed Data to our DWH

After creating a branch, we will populate our DWH with the sample data:

```shell
dbt seed
```

</Accordion>
<br/>

**Now, let's add Elementary's package into our project.**