# Getting started

> **📝 Note**
>
> An LLM-optimized bundle of this entire section is available at [`section.md`](https://www.union.ai/docs/v1/flyte/user-guide/getting-started/section.md).
> This single file contains all pages in this section, optimized for AI coding agent context.

This section gives you a quick introduction to writing and running Flyte workflows.

## Try Flyte on your local machine

You can also install Flyte's SDK (called `flytekit`) and a local Flyte cluster to run workflows on your local machine.

To get started, follow the instructions on the next page, [Local setup](https://www.union.ai/docs/v1/flyte/user-guide/getting-started/local-setup/page.md).

## Subpages

- [Local setup](https://www.union.ai/docs/v1/flyte/user-guide/getting-started/local-setup/page.md)
  - Install `uv`
  - Ensure the correct version of Python is installed
  - Install the `pyflyte` CLI
  - Install Docker and get access to a container registry
  - Install `flytectl` to set up a local cluster
  - macOS
  - Linux
  - Windows
  - Start Docker and the local cluster
  - Configure the connection to your cluster
  - Check your CLI configuration
- [First project](https://www.union.ai/docs/v1/flyte/user-guide/getting-started/first-project/page.md)
  - Create a new Flyte project
  - Initialize a local project
- [Understanding the code](https://www.union.ai/docs/v1/flyte/user-guide/getting-started/understanding-the-code/page.md)
  - Python code
  - ImageSpec
  - Tasks
  - Workflow
  - pyproject.toml
  - uv.lock
- [Running your workflow](https://www.union.ai/docs/v1/flyte/user-guide/getting-started/running-your-workflow/page.md)
  - Python virtual environment
  - Run the code locally
  - Running remotely on Flyte in the cloud
  - Register the workflow without running
  - Run the workflow from the Flyte interface
  - View the workflow execution on Flyte

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**Source**: https://github.com/unionai/unionai-docs/blob/main/content/user-guide/getting-started/_index.md
**HTML**: https://www.union.ai/docs/v1/flyte/user-guide/getting-started/