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Python Code Samples

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

35 matches
System design patterns easy

How to Build an Append-Only Event Store in Python

Implement a simple append-only event store class that stores events in a list and supports retrieval by index range.

event-sourcing append-only event-store
Python
class EventStore:
    def __init__(self):
        self._events = []

    def append(self, event):
        """Append an event to the store."""
        self._events.append(event)

    def get_events(self, start=0, end=None):
        """Return events from start index to end (exclusive)."""
        return self._events[sta…
14 0 Open
Big data & Spark easy

Partition Data by Hash Key Mod N in Python

Returns a partition index for a string key by hashing it with MD5 and taking modulo N, then groups sample keys into partitions.

hashing partitioning hashlib
Python
import hashlib


def partition_key(key: str, num_partitions: int) -> int:
    """Return partition index for key using MD5 hash mod N."""
    digest = hashlib.md5(key.encode()).hexdigest()
    return int(digest, 16) % num_partitions


if __name__ == "__main__":
    keys = ["alice", "bob", "carol", "dave", "eve"]
    nu…
12 0 Open
Database scaling & optimization easy

Build a Partial Index Mock in Python for Database Filtering

Simulate a partial database index by filtering keys with a predicate, then return a limited mock lookup dictionary.

partial-index database mock
Python
data = [
    "alpha", "beta", "gamma", "delta", "epsilon",
    "zeta", "eta", "theta", "iota", "kappa"
]

filtered_keys = [item for item in data if len(item) >= 5]

def mock_partial_index(keys, filter_func, limit=3):
    result = {}
    for key in keys:
        if not filter_func(key):
            continue
        res…
12 0 Open
Database scaling & optimization easy

Database indexing and query timing optimization in Python

Create SQLite indexes and time query performance to measure speedup for large table lookups in Python.

sqlite indexing query optimization
Python
import sqlite3
import time


def time_query(db_path, query, params=()):
    conn = sqlite3.connect(db_path)
    conn.execute("PRAGMA journal_mode = WAL")
    start = time.perf_counter()
    result = conn.execute(query, params).fetchall()
    elapsed = time.perf_counter() - start
    conn.close()
    return result, ela…
14 0 Open
Database scaling & optimization easy

Hash index equality mock concept in Python

A simple hash index class in Python that stores key-value pairs in buckets and demonstrates basic equality-based lookup.

hash-index hash-table database
Python
class HashIndex:
    def __init__(self):
        self._buckets = {}

    def insert(self, key, value):
        """Insert a key-value pair into the hash index."""
        index = hash(key) % 10
        if index not in self._buckets:
            self._buckets[index] = []
        self._buckets[index].append((key, value))…
12 0 Open
Database scaling & optimization easy

How to Create a Database Helper Class for Beginners in Python

Build a beginner-friendly SQLite helper class with indexing and batch inserts to optimize database queries in Python.

sqlite database indexing
Python
import sqlite3


class DatabaseHelper:
    def __init__(self, db_path):
        self.connection = sqlite3.connect(db_path)
        self.cursor = self.connection.cursor()

    def create_table_with_index(self, table_name, columns, indexed_column):
        columns_sql = ", ".join(f"{name} {dtype}" for name, dtype in col…
13 0 Open
Database scaling & optimization easy

How to Optimize SQLite Database Performance in Python

A Python helper that creates an index, enables WAL mode, and tunes synchronous settings to optimize SQLite database performance.

sqlite database optimization
Python
import sqlite3

DATABASE_PATH = "beginners.db"
UNOPTIMIZED_TABLE_SCHEMA = """
CREATE TABLE IF NOT EXISTS users (
    id INTEGER PRIMARY KEY,
    name TEXT NOT NULL,
    email TEXT NOT NULL
)
"""


def optimize_database(db_path: str = DATABASE_PATH) -> dict:
    with sqlite3.connect(db_path) as connection:
        curs…
14 0 Open
Database scaling & optimization easy

How to Shard Data by User ID Hash in Python

Deterministically map user IDs to shard indexes using an MD5 hash modulo the shard count in Python.

sharding hashing md5
Python
import hashlib

def shard_id(user_id: str, num_shards: int = 4) -> int:
    """Deterministically map a user_id to a shard index using MD5."""
    digest = hashlib.md5(user_id.encode("utf-8")).hexdigest()
    return int(digest[:8], 16) % num_shards

if __name__ == "__main__":
    user_ids = ["alice", "bob", "carol", "d…
12 0 Open
Database scaling & optimization easy

How to Speed Up Column Lookups with DataFrame Index in Python

Use pandas set_index to make repeated column value lookups O(1)-style fast instead of scanning the whole DataFrame each time.

pandas indexing performance
Python
import pandas as pd

# Mock dataset with duplicate customer IDs
data = {"customer_id": [101, 102, 103, 101, 104, 102],
        "order_amount": [250.0, 85.5, 300.0, 175.25, 420.0, 95.75]}

df = pd.DataFrame(data)
df = df.set_index("customer_id")

# Simulated lookup request
search_id = 102

# Fast index-based lookup (no…
15 0 Open
Database scaling & optimization easy

How to enforce a unique index constraint in Python

Mock a database unique index in Python that rejects duplicate rows based on one or more columns.

database unique index constraint
Python
class MockIndex:
    def __init__(self, columns):
        self.columns = columns
        self._values = set()

    def insert(self, row):
        key = tuple(row[col] for col in self.columns)
        if key in self._values:
            raise ValueError(f"Duplicate key {key} for columns {self.columns}")
        self._v…
14 0 Open
Database scaling & optimization easy

Monitor Database Index Bloat in Python

Simulates index bloat checks for database tables using random ratio thresholds and reports alerts per index.

database index monitoring
Python
import random
import time

class IndexBloatMonitor:
    def __init__(self, thresholds=(0.5, 0.8, 0.9)):
        self.thresholds = thresholds
        self.indices = {
            "users_pk": 48.2,
            "orders_created_idx": 124.7,
            "products_name_idx": 15.3,
            "payments_user_idx": 203.9,
   …
15 0 Open

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