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Data pipelines & processing

ETL-style flows, batch transforms, validation, and moving data between formats.

3 matches

Create Data Helper Functions in Python for Beginners

Build reusable Python helper functions to load, filter, sort, summarize, and save JSON data — a beginner-friendly starting point for small data pipelines.

json pipeline helpers

Python

import json
from pathlib import Path
from typing import Any, Dict, List


def load_json_file(filepath: str) -> Dict[str, Any]:
    """Load JSON data from a file."""
    with Path(filepath).open("r", encoding="utf-8") as file:
        return json.load(file)


def filter_by_key(
    data: List[Dict[str, Any]], key: str,…

14 0 Open

Data pipelines & processing easy

How to Build Data Processing Functions in Python

Create reusable helper functions to load, filter, transform, and aggregate CSV data in Python.

csv pipeline etl

Python

import csv
from pathlib import Path


def load_data(filepath):
    """Load CSV data into a list of dicts."""
    with open(filepath, "r", newline="", encoding="utf-8") as f:
        return list(csv.DictReader(f))


def filter_rows(rows, column, value):
    """Keep rows where column equals value."""
    return [row for…

11 0 Open

Data pipelines & processing easy

How to Sort a List of Dictionaries by Key in Python

A reusable helper function that sorts a list of dictionaries by a specified key, with optional descending order support.

sorting dictionaries data-pipelines

Python

from typing import List

def sort_records(records: List[dict], key: str, descending: bool = False) -> List[dict]:
    """Sort a list of dictionaries by a specified key."""
    return sorted(records, key=lambda record: record[key], reverse=descending)


def demonstrate_sorting() -> None:
    users = [
        {"name": …

12 0 Open

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