Hello World Example

Estimated time to complete: 3 minutes.

The goal of this tutorial is to modify an existing example (hello world) to take the name of the person to green as an argument.


  • Ensure that you have git installed.


  1. First install the python Flytekit SDK and clone the flytesnacks repo:

pip install --pre flytekit
git clone git@github.com:flyteorg/flytesnacks.git flytesnacks
cd flytesnacks
  1. The repo comes with some useful Make targets to make your experimentation workflow easier. Run make help to get the supported commands. Let’s start a sandbox cluster:

make start
  1. Take a minute to explore Flyte Console through the provided URL.

A quick visual tour for launching your first Workflow.
  1. Open hello_world.py in your favorite editor.

  1. Add name: str as an argument to both my_wf and say_hello functions. Then update the body of say_hello to consume that argument.


def say_hello(name: str) -> str:
    return f"hello world, {name}"


def my_wf(name: str) -> str:
    res = say_hello(name=name)
    return res
  1. Update the simple test at the bottom of the file to pass in a name. E.g.


print(f"Running my_wf(name='adam') {my_wf(name='adam')}")
  1. When you run this file locally, it should output hello world, adam. Run this command in your terminal:

python cookbook/core/basic/hello_world.py

Congratulations! You have just ran your first workflow. Let’s now run it on the sandbox cluster you deployed earlier.

  1. Run:

REGISTRY=ghcr.io/flyteorg make fast_register
  1. Visit the console, click launch, and enter your name as the input.

  2. Give it a minute and one it’s done, check out “Inputs/Outputs” on the top right corner to see your greeting updated.

A quick visual tour for launching a workflow and checking the outputs when it's done.


You have successfully:

  1. Ran a flyte sandbox cluster,

  2. Ran a flyte workflow locally,

  3. Ran a flyte workflow on a cluster.

Head over to the next section to Getting Started with Flytekit Python learn more about FlyteKit and how to start leveraging all the functionality flyte has to offer in simple and idiomatic python.