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Python Code Samples

Medium snippets you can copy, study, and run in the browser editor.

54 matches
ML engineering pipelines medium

Bayesian Optimization in Python: A Simplified Mock Implementation

A toy Bayesian optimization loop with a Gaussian process prior, expected improvement acquisition, and noisy sampling to find a function's minimum.

bayesian-optimization gaussian-process hyperparameter-tuning
Python
import random
import math

class BayesianOptimizer:
    def __init__(self, noise=0.1):
        self.noise = noise
        self.observations = []
    
    def objective(self, x):
        return (math.sin(3*x) + 0.5*x) / (1 + x**2)
    
    def gaussian_process_prior(self, x1, x2, length_scale=0.5):
        return math.…
12 0 Open
ML engineering pipelines medium

How to Mock Kedro Pipeline Nodes in Python

Create a modular Kedro pipeline with node functions, namespacing, and input/output mapping to mock pipeline execution locally.

kedro pipeline modular
Python
from kedro.pipeline import Pipeline, node
from kedro.pipeline.modular_pipeline import pipeline as modular_pipeline


def preprocess(data: list) -> list:
    """Clean data by removing None values."""
    return [item for item in data if item is not None]


def transform(data: list) -> list:
    """Add 1 to each numeric…
15 0 Open
ML engineering pipelines medium

How to Mock a Kubeflow Pipeline in Python

Build a minimal in-memory mock of a Kubeflow pipeline DAG using dataclasses and OrderedDict to chain component functions.

kubeflow pipelines mlops
Python
from typing import Dict, Any
from dataclasses import dataclass, field
from collections import OrderedDict


@dataclass
class KubeflowPipelineMock:
    """A minimal mock of a Kubeflow pipeline DAG."""
    name: str
    components: OrderedDict[str, callable] = field(default_factory=OrderedDict)

    def add_component(se…
14 0 Open
Database scaling & optimization medium

How to Explain SQLite Query Plans in Python

Build a Python function that runs EXPLAIN QUERY PLAN on SQLite in-memory tables and prints the optimizer's execution plan for any SELECT statement.

sqlite query-plan optimization
Python
import sqlite3

def explain_query(sql: str) -> str:
    """Return the SQLite query plan for the given SQL statement."""
    conn = sqlite3.connect(":memory:")
    cursor = conn.cursor()
    
    # Create sample data for a realistic plan
    cursor.execute("CREATE TABLE users (id INTEGER PRIMARY KEY, name TEXT)")
    c…
14 0 Open
Auth & security at scale medium

How to mock DNS CAA record lookups in Python

Parse and filter DNS CAA records with a mock lookup function, demonstrating how certificate authorities validate domain authorization.

dns security caa
Python
import dnslib

def parse_caa_record(record_string):
    """Parse a DNS CAA record string into its components."""
    parts = record_string.split()
    flags = int(parts[0])
    tag = parts[1]
    value = parts[2]
    return flags, tag, value

def mock_caa_lookup(domain, caa_records):
    """Mock DNS CAA lookup that re…
18 0 Open
Production deployment patterns medium

Mock Kubernetes HPA CPU Scaling in Python

Python function that simulates CPU utilization and calculates desired replicas using the Kubernetes HPA formula.

kubernetes hpa autoscaling
Python
import random
import time


def simulate_cpu_utilization(target_utilization=50, samples=10):
    """Simulate CPU utilization readings for HPA mock."""
    utilizations = []
    for _ in range(samples):
        # Simulate fluctuating CPU with random noise around target
        current = target_utilization + random.unif…
14 0 Open

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