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Python Code Samples

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

57 matches
ML engineering pipelines easy

How to implement a canary traffic split in Python

Route incoming traffic between stable and canary model or service versions using a weight-based random split with deterministic testing.

canary traffic-split random
Python
import random


def canary_route(service_name: str, canary_weight: float = 0.2) -> str:
    """Route traffic between stable and canary versions based on weight."""
    rng = random.Random(42)  # deterministic for reproducible demo
    if rng.random() < canary_weight:
        return f"{service_name}-canary"
    return …
14 0 Open
ML engineering pipelines easy

Load CSV Training Data Without Pandas in Python

This code loads a CSV file into a list of dictionaries using only the standard library, ideal for small ML training data without heavy dependencies.

csv data-loading standard-library
Python
import csv
from pathlib import Path

def load_csv(path):
    """Load CSV file into list of dicts without pandas."""
    rows = []
    with open(path, newline='', encoding='utf-8') as f:
        reader = csv.DictReader(f)
        for row in reader:
            rows.append(dict(row))
    return rows

if __name__ == "__m…
13 0 Open
ML engineering pipelines easy

Model registry version mock in Python

A simple in-memory model registry that stores model versions with metadata and supports version listing and latest retrieval.

ml-engineering model-registry versioning
Python
class ModelRegistry:
    def __init__(self):
        self.models = {}

    def register(self, name, version, model_type, metrics=None):
        if name not in self.models:
            self.models[name] = []
        entry = {
            "version": version,
            "model_type": model_type,
            "metrics": m…
13 0 Open
ML engineering pipelines easy

One Hot Encode Categories in Python

Convert a list of categorical strings into one-hot encoded numeric vectors using pure Python and NumPy.

one-hot encoding categorical numpy
Python
import numpy as np

categories = ["red", "green", "blue", "red", "blue", "green", "red"]

unique = sorted(set(categories))
lookup = {cat: i for i, cat in enumerate(unique)}

one_hot = []
for cat in categories:
    row = [0] * len(unique)
    row[lookup[cat]] = 1
    one_hot.append(row)

print("Categories:", categories…
13 0 Open
A/B testing & experimentation easy

How to create a global control holdout group in Python

This code implements a deterministic global control holdout group, randomly selecting a fraction of users to be excluded from feature rollouts for experiment validation.

ab-testing holdout global-control
Python
import random

class GlobalControl:
    def __init__(self, population_size, holdout_fraction=0.2, seed=42):
        random.seed(seed)
        self.population_size = population_size
        self.holdout_fraction = holdout_fraction
        self.holdout_size = int(population_size * holdout_fraction)
        self.holdout_…
11 0 Open
Auth & security at scale easy

How to Hash Passwords with bcrypt in Python

Hash a plaintext password with bcrypt using a randomly generated salt, then verify a plaintext attempt against the stored hash.

bcrypt password security
Python
import bcrypt

def hash_password(password: str) -> str:
    """Hash a password using bcrypt with a generated salt."""
    salt = bcrypt.gensalt()
    return bcrypt.hashpw(password.encode("utf-8"), salt).decode("utf-8")

def check_password(password: str, hashed: str) -> bool:
    """Verify a plaintext password against …
13 0 Open
Production deployment patterns easy

Generate a docker-compose.yml with mock services in Python

Build a docker-compose.yml string from a Python dict of service names and images, then write it to a file.

docker compose yaml
Python
import yaml
from pathlib import Path

def generate_mock_compose(services: dict) -> str:
    compose = {
        "version": "3.9",
        "services": {}
    }
    
    for name, image in services.items():
        compose["services"][name] = {
            "image": image,
            "container_name": f"mock-{name}",
  …
17 0 Open
Production deployment patterns easy

How to Generate a Kubernetes Deployment Manifest in Python

Generate a Kubernetes Deployment manifest as YAML from a Python dictionary using PyYAML.

kubernetes yaml deployment
Python
import yaml

deployment = {
    "apiVersion": "apps/v1",
    "kind": "Deployment",
    "metadata": {
        "name": "mock-app",
        "labels": {"app": "mock-app"}
    },
    "spec": {
        "replicas": 3,
        "selector": {
            "matchLabels": {"app": "mock-app"}
        },
        "template": {
      …
13 0 Open
Production deployment patterns easy

How to Merge Helm Chart Values Per Environment in Python

Merge default Helm chart values with environment-specific overrides using a recursive dictionary merge function, then write each environment's YAML file.

helm merge yaml
Python
from pathlib import Path
import json
import tempfile


DEFAULT_VALUES = {
    "image": "nginx:latest",
    "replicas": 1,
    "resources": {"cpu": "100m", "memory": "128Mi"},
}

ENV_OVERRIDES = {
    "dev": {"replicas": 1, "resources": {"cpu": "50m"}},
    "staging": {"replicas": 2, "resources": {"cpu": "250m", "memor…
11 0 Open

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