Reference library

Files & data

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

7 matches
Files & data easy

Convert File Data to a Dictionary in Python

This function scans a directory and converts each file's metadata (name, size, extension) into a structured dictionary for easy access.

file-metadata pathlib directory
Python
from pathlib import Path

def convert_files_data(directory: str) -> dict:
    data = {}
    base = Path(directory)
    if not base.exists():
        return data
    for file in base.iterdir():
        if file.is_file():
            data[file.name] = {
                "size": file.stat().st_size,
                "exten…
16 0 Open
Files & data medium

Create a Local File Versioning System Using Pure Python

Track file changes locally by copying versions with SHA-256 hashes and JSON metadata using only the Python standard library.

file-versioning files backup
Python
import os
import shutil
import hashlib
import json
import time
from pathlib import Path

class LocalFileVersioning:
    def __init__(self, target_dir="versioned_files", versions_dir="versions"):
        self.target_dir = Path(target_dir)
        self.versions_dir = Path(versions_dir)
        self.metadata_file = self.…
53 0 Open
Files & data easy

How to Copy a File with shutil.copy2 in Python

Copy a file while preserving metadata like timestamps and permissions using Python's shutil.copy2 and pathlib.

shutil file-copy pathlib
Python
import shutil
from pathlib import Path

source = Path("sample.txt")
destination = Path("sample_copy.txt")

source.write_text("Hello, PythonSkillset!")

if __name__ == "__main__":
    shutil.copy2(source, destination)
    copied = destination.read_text()
    print(f"Copied content: {copied}")
    print(f"Source exists:…
11 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…
49 0 Open
Files & data easy

How to List File Information in a Directory with Python

A helper that walks a directory and returns each file's name, size, and extension as a list of dictionaries.

pathlib filesystem file-metadata
Python
from pathlib import Path


def get_files_data(directory: str) -> list[dict]:
    """Return basic info about all files in a directory."""
    files = []
    for path in Path(directory).iterdir():
        if path.is_file():
            files.append({
                "name": path.name,
                "size": path.stat()…
12 0 Open
Files & data easy

How to List File Metadata in Python

This code walks a directory and returns a list of JSON-ready dicts with each file's name, size, and modification time.

pathlib file-metadata filesystem
Python
from pathlib import Path
import json

def format_files_data(directory_path):
    """Return a list of JSON-serializable dicts with file metadata."""
    base = Path(directory_path)
    if not base.is_dir():
        raise ValueError(f"Not a directory: {directory_path}")

    files_data = []
    for file_path in base.ite…
13 0 Open
Files & data easy

How to check file data in Python

Check if a file exists and is a regular file, then return its name, size, line count, and first line.

file pathlib metadata
Python
def check_file_data(file_path):
    from pathlib import Path
    path = Path(file_path)
    if not path.exists():
        return f"File '{file_path}' does not exist."
    if not path.is_file():
        return f"'{file_path}' is not a regular file."
    
    size = path.stat().st_size
    lines = path.read_text(encodin…
15 0 Open

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Files & data — Python code examples

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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.

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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.