Reference library

ML engineering pipelines

Feature prep, batch inference, model-serving hooks, and production ML workflow glue.

1 match
ML engineering pipelines easy

How to Create a Mock Metaflow Flow in Python

Build a minimal Metaflow flow with two sequential steps that pass data between them using instance attributes.

metaflow ml-pipelines workflow
Python
from metaflow import FlowSpec, step, current


class MockFlow(FlowSpec):
    """A minimal Metaflow flow to demonstrate basic steps and branching."""

    @step
    def start(self):
        self.category = "mock"
        print(f"Start step for {self.category} flow")
        self.next(self.process)

    @step
    def pr…
15 0 Open

Browse by section

Each section groups closely related Python snippets.

ML engineering pipelines — Python code examples

What you will find here

This page collects ml engineering pipelines snippets — short, copy-ready Python you can paste into our free online IDE and run without installing anything. Each sample includes a plain-English explanation and the full source code.

Samples vs tutorials and challenges

Samples are quick reference — one concept per page. For step-by-step teaching, use our Python tutorials. To test yourself, try quizzes or coding challenges. Clean up style with the Python formatter.