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Python Code Samples

Copy-ready Python snippets by topic and difficulty — short, focused, and runnable in the browser editor.

7 matches
Big data & Spark medium

How to Build a DAG Execution Stage Calculator in Python

Computes the execution stages of a directed acyclic graph (DAG) by grouping nodes that become ready simultaneously using topological sorting with Kahn's algorithm.

dag topological-sort kahn-algorithm
Python
from collections import defaultdict, deque


def get_stages(edges):
    """Return list of stages, where each stage is a list of nodes
    that become ready at the same time in a DAG."""
    graph = defaultdict(list)
    in_degree = defaultdict(int)
    nodes = set()

    for src, dst in edges:
        graph[src].appen…
15 0 Open
ML engineering pipelines medium

How to Stage ML Model Workflows with Python Classes

Defines a Stage class to model ML pipeline stages with variants and mocks, printing grammar for Model, Staging, and Production stages.

ml-pipelines stages model-deployment
Python
class Stage:
    def __init__(self, name):
        self.name = name
        self.mocks = []
        self.variants = []

    def add_mock(self, mock_name):
        self.mocks.append(mock_name)

    def add_variant(self, variant_name, productions=()):
        self.variants.append((variant_name, list(productions)))

    …
12 0 Open
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…
13 0 Open
Production deployment patterns easy

How to Mock Multi-Stage Docker Builds in Python

Simulate a multi-stage Docker build in pure Python using classes and temp directories to understand how build stages copy artifacts into a final image.

docker multi-stage simulation
Python
# Simulate multi-stage Docker build with pure Python
from pathlib import Path
import tempfile
import shutil

class BuildContext:
    """Mimics a Docker build context with stages."""
    
    def __init__(self, name):
        self.name = name
        self.files = {}
    
    def add_file(self, dest, content):
        s…
14 0 Open
Production deployment patterns easy

How to Mock a CI Pipeline with Build, Test, and Deploy Stages in Python

Simulate a three-stage CI pipeline (build, test, deploy) in Python with random pass/fail logic, early exit on failure, and measured stage durations.

ci-cd simulation dataclasses
Python
import time
import random
from dataclasses import dataclass


@dataclass
class StageResult:
    name: str
    status: str
    duration: float


def run_stage(name: str, success_chance: float = 0.9) -> StageResult:
    """Simulate a pipeline stage with random success/failure."""
    start = time.time()
    time.sleep(r…
14 0 Open
Production deployment patterns easy

How to simulate GitLab CI stages in Python

Build a lightweight Python mock of GitLab CI pipeline stages to test job sequencing and output locally.

gitlab ci simulation
Python
def mock_gitlab_ci_stages():
    stages = ["build", "test", "deploy"]
    stage_status = {}

    for stage in stages:
        jobs = []

        if stage == "build":
            jobs = ["compile", "package"]
        elif stage == "test":
            jobs = ["unit", "integration", "e2e"]
        elif stage == "deploy":…
14 0 Open
Production deployment patterns easy

How to simulate a Jenkins pipeline in Python

Simulate a Jenkins-style pipeline in Python by running sequential stages and checking aggregate success.

jenkins pipeline simulation
Python
def run_stage(name, duration, fn):
    print(f"[Pipeline] Running stage: {name}")
    result = fn()
    print(f"[Pipeline] Stage '{name}' completed in {duration}s -> {result}")
    return result

def build_project():
    print("  compiling source...")
    return "BUILD_OK"

def run_tests():
    print("  executing unit…
13 0 Open

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