Reference library

Files & data

Read and write files safely; parse JSON, CSV, and common text formats.

27 matches
Files & data easy

Read an XML File with xml.etree.ElementTree in Python

Parse an XML file and print its root and child elements using the standard library's xml.etree.ElementTree module.

xml elementtree file-io
Python
import xml.etree.ElementTree as ET


def read_xml_file(file_path):
    """Read an XML file and print its structure."""
    tree = ET.parse(file_path)
    root = tree.getroot()
    print(f"Root element: {root.tag}")
    for child in root:
        print(f"Child element: {child.tag}, text: {child.text}")


if __name__ ==…
13 0 Open
Files & data easy

Reassemble File Parts into Original File Bytes in Python

Read sorted part files from a directory and concatenate their bytes into the original file.

file handling binary byte concatenation
Python
import os
import sys
from pathlib import Path

def reassemble_parts(parts_dir: Path, output_path: Path) -> int:
    """
    Reassemble file parts into the original file.

    Args:
        parts_dir: Directory containing the part files
        output_path: Path where the reassembled file will be written

    Returns:
…
12 0 Open
Files & data easy

Split CSV Files into Smaller Chunks in Python

Splits a large CSV file into multiple smaller chunk files, preserving the header row in each chunk.

csv file-splitting batch-processing
Python
import csv
import os

def split_csv(input_file, chunk_size=1000, output_prefix="chunk"):
    """Split a large CSV file into smaller chunks."""
    with open(input_file, 'r', newline='') as infile:
        reader = csv.reader(infile)
        header = next(reader)
        
        file_count = 1
        row_count = 0
  …
44 0 Open

Browse by section

Each section groups closely related Python snippets.

Files & data — Python code examples

What you will find here

This page collects files & data snippets — short, copy-ready Python you can paste into our free online IDE and run without installing anything. Each sample includes a plain-English explanation and the full source code.

Samples vs tutorials and challenges

Samples are quick reference — one concept per page. For step-by-step teaching, use our Python tutorials. To test yourself, try quizzes or coding challenges. Clean up style with the Python formatter.