Reference library

Database scaling & optimization

Indexing, connection pooling, read replicas, query tuning, and throughput-aware SQL.

3 matches

How to Convert Data with Scaling for Database Optimization in Python

A beginner-friendly helper that normalizes and scales numeric fields in a list of dicts, reducing storage footprint for database efficiency.

data conversion database scaling

Python

import json
from datetime import datetime

def convert_data(data: list[dict], scale_factor: int = 1) -> list[dict]:
    """Convert a list of dicts to a scaled, normalized format for database efficiency."""
    converted = []
    for row in data:
        normalized = {}
        for key, value in row.items():
          …

14 0 Open

Database scaling & optimization easy

How to Create a Data Helper Class in Python for JSON Files

Build a beginner-friendly Python helper class to read, write, filter, and summarize JSON data files with clean, reusable methods.

json data-helper file-io

Python

import json
from pathlib import Path


class DataHelper:
    """Simple beginner-friendly helper for reading and writing JSON data files."""

    @staticmethod
    def read_json(filename):
        file_path = Path(filename)
        if file_path.exists():
            with file_path.open("r", encoding="utf-8") as f:
    …

13 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

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