10 Essential Python File Operation Libraries and Their Usage

In daily API testing, handling files such as login credentials and database dumps is common; this article introduces ten Python libraries that simplify file operations and provides concise usage examples.

os : Provides functions to interact with the operating system, including file and directory manipulation, process management, etc.

import os
# Check if file exists
if os.path.exists('file.txt'):
    print('File exists')
# Get file size
file_size = os.path.getsize('file.txt')
# Delete file
os.remove('file.txt')

pathlib : Offers an object‑oriented approach to handle filesystem paths.

from pathlib import Path
# Check if file exists
if Path('file.txt').exists():
    print('File exists')
# Get file size
file_size = Path('file.txt').stat().st_size
# Delete file
Path('file.txt').unlink()

shutil : Supplies high‑level operations for copying, moving, and removing directories.

import shutil
# Copy file
shutil.copy('source.txt', 'destination.txt')
# Move file
shutil.move('source.txt', 'destination.txt')
# Remove directory and its contents
shutil.rmtree('directory')

glob : Enables filename pattern matching to locate files.

import glob
# Find all .txt files
txt_files = glob.glob('*.txt')
# Find all .py files in subdirectories recursively
py_files = glob.glob('**/*.py', recursive=True)

zipfile : Allows creation, reading, and extraction of ZIP archives.

import zipfile
# Create ZIP archive
with zipfile.ZipFile('archive.zip', 'w') as zip:
    zip.write('file.txt')
# Extract ZIP archive
with zipfile.ZipFile('archive.zip', 'r') as zip:
    zip.extractall('destination_folder')

tarfile : Handles creation, reading, and extraction of TAR (including gzip‑compressed) archives.

import tarfile
# Create TAR.GZ archive
with tarfile.open('archive.tar.gz', 'w:gz') as tar:
    tar.add('file.txt')
# Extract TAR.GZ archive
with tarfile.open('archive.tar.gz', 'r:gz') as tar:
    tar.extractall('destination_folder')

csv : Provides utilities to read from and write to CSV files.

import csv
# Read CSV file
with open('data.csv', 'r') as file:
    reader = csv.reader(file)
    for row in reader:
        print(row)
# Write CSV file
with open('data.csv', 'w') as file:
    writer = csv.writer(file)
    writer.writerow(['Name', 'Age'])
    writer.writerow(['John', 30])
    writer.writerow(['Alice', 25])

json : Enables encoding and decoding of JSON data.

import json
# Read JSON file
with open('data.json', 'r') as file:
    data = json.load(file)
    print(data)
# Write JSON file
data = {'name': 'John', 'age': 30}
with open('data.json', 'w') as file:
    json.dump(data, file)

configparser : Facilitates reading and writing of INI configuration files.

import configparser
# Read config file
config = configparser.ConfigParser()
config.read('config.ini')
value = config.get('Section', 'Option')
# Write config file
config = configparser.ConfigParser()
config['Section'] = {'Option': 'Value'}
with open('config.ini', 'w') as file:
    config.write(file)

logging : Offers flexible, configurable logging of application events.

import logging
logging.basicConfig(filename='app.log', level=logging.INFO)
logging.debug('This is a debug message')
logging.info('This is an info message')
logging.warning('This is a warning message')

These libraries cover a wide range of file‑related tasks, enabling developers to efficiently read, write, copy, compress, and log files within Python projects.