Reference library

ML engineering pipelines

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

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ML engineering pipelines medium

Training Pipeline Orchestration Mock DAG in Python

Build a mock DAG orchestrator that runs ML pipeline stages in dependency order using topological sorting (Kahn's algorithm).

dag pipeline topological-sort
Python
from collections import deque
from dataclasses import dataclass, field


@dataclass
class DAGNode:
    name: str
    task: callable
    dependencies: list[str] = field(default_factory=list)


class MockDAG:
    def __init__(self, nodes: list[DAGNode]):
        self.nodes = {n.name: n for n in nodes}
        self.execu…
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ML engineering pipelines — Python code examples

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