Reference library

Files & data

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

3 matches
Files & data easy

Automatically Highlight Data Validation Errors Inside Excel Files in Python

Load an Excel file with openpyxl, iterate over cells, and highlight invalid data (empty, negative) with a red fill and error message.

excel validation openpyxl
Python
import openpyxl
from openpyxl.styles import PatternFill
from pathlib import Path

def highlight_validation_errors(filepath: str, output_path: str = None):
    wb = openpyxl.load_workbook(filepath)
    red_fill = PatternFill(start_color="FF0000", end_color="FF0000", fill_type="solid")
    
    for sheet in wb.worksheet…
60 0 Open
Files & data easy

How to Read a File with Retry on Temporary IOError in Python

Read a file with automatic retries on temporary IOError/OSError failures, using the pathlib module with configurable attempts and delay.

file-io retry error-handling
Python
import time
from pathlib import Path

def read_file_with_retry(filepath: str | Path, max_attempts: int = 3, delay: float = 0.5) -> str:
    """Read a file with retries on temporary IO errors."""
    path = Path(filepath)
    last_error = None

    for attempt in range(max_attempts):
        try:
            return pat…
14 0 Open
Files & data easy

How to Validate a JSON File in Python

A beginner-friendly Python helper that reads a JSON file, catches common errors, and returns a status dictionary.

json validation file-handling
Python
import json
from pathlib import Path

def get_valid_json_data(file_path: str) -> dict:
    file = Path(file_path)
    if not file.exists():
        return {"status": "error", "message": f"File not found: {file_path}"}
    
    try:
        data = json.loads(file.read_text())
    except json.JSONDecodeError as e:
     …
12 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.