> ## Documentation Index
> Fetch the complete documentation index at: https://docs.domino.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Get started with Python

This tutorial will guide you through a common model lifecycle in Domino. You will start by working with data from the [Insights Solution](https://bmrs.elexon.co.uk/) in the UK. We will be exploring the [Electricity Generation by Fuel Type](https://bmrs.elexon.co.uk/generation-by-fuel-type) and predicting the electricity generation in the future. You’ll see examples of [Jupyter](http://jupyter.org/), [Dash](https://dash.plot.ly/), [pandas](https://pandas.pydata.org/), and [Prophet](https://facebook.github.io/prophet/) used in Domino.

The following content is meant to be followed in sequence.

* [Create a Project](/cloud/getting-started/for-modelers-and-builders/get-started-python/1-create-project)

* [Configure your Project](/cloud/getting-started/for-modelers-and-builders/get-started-python/2-configure-project)

* [Start a Workspace](/cloud/getting-started/for-modelers-and-builders/get-started-python/3-start-workspace)

* [Get your files and data](/cloud/getting-started/for-modelers-and-builders/get-started-python/4-get-data)

* [Develop your model](/cloud/getting-started/for-modelers-and-builders/get-started-python/5-develop-model)

* [Clean up Workspaces](/cloud/getting-started/for-modelers-and-builders/get-started-python/6-clean-up)

* [Deploy your model](/cloud/getting-started/for-modelers-and-builders/get-started-python/7-deploy)