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Files & data

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

4 matches
Files & data medium

Find Duplicate Web Pages by Content Similarity in Python

Compute SHA-256 hashes of file contents to detect and report duplicate HTML pages or any files in a directory.

duplicate-detection hashing sha256
Python
import hashlib
import os
from collections import defaultdict

def get_file_hash(filepath):
    """Compute SHA-256 hash of file contents."""
    sha256 = hashlib.sha256()
    with open(filepath, 'rb') as f:
        for chunk in iter(lambda: f.read(4096), b''):
            sha256.update(chunk)
    return sha256.hexdiges…
22 0 Open
Files & data medium

How to Automatically Merge Hundreds of Excel Files Without Losing Formatting in Python

Merge all .xlsx files in a folder into a single Excel workbook, preserving individual sheet structures with sheet name prefixes.

excel pandas merge
Python
import pandas as pd
from pathlib import Path

def merge_excel_files(folder_path: str, output_path: str) -> None:
    """
    Merge all .xlsx files in a folder into a single Excel file,
    preserving individual sheet structures.
    """
    folder = Path(folder_path)
    excel_files = list(folder.glob("*.xlsx"))
    
…
20 0 Open
Files & data medium

How to Generate Beautiful QR Codes with Embedded Logos in Python

Generate a high-error-correction QR code and paste a logo image in the center to create a branded, scannable QR code.

qrcode qrcode-generation pillow
Python
import qrcode
from PIL import Image

def generate_qr_with_logo(data, logo_path, output_path):
    qr = qrcode.QRCode(
        version=1,
        error_correction=qrcode.constants.ERROR_CORRECT_H,
        box_size=10,
        border=4,
    )
    qr.add_data(data)
    qr.make(fit=True)

    qr_img = qr.make_image(fill_c…
27 0 Open
Files & data medium

How to Generate an Inventory Report of All Files in Python

Walk a directory tree, collect metadata for every file, and write a CSV inventory report using Python's os, pathlib, and csv modules.

os.walk pathlib csv
Python
import os
import csv
from pathlib import Path
from datetime import datetime

def generate_inventory_report(root_dir: str = "/", output_file: str = "inventory_report.csv"):
    headers = ["File Path", "Size (bytes)", "Last Modified", "File Type"]
    rows = []
    start_time = datetime.now()
    
    for dirpath, dirna…
28 0 Open

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