Python DocOps: Accessing and Manipulating Various Document Types

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Here’s a comprehensive list of Python libraries, modules, and tools commonly used for accessing and manipulating various types of documents:

1. Text Documents

Reading and Writing Text Files:

# Reading a text file
with open('example.txt', 'r') as file:
    content = file.read()

# Writing to a text file
with open('output.txt', 'w') as file:
    file.write('Hello, World!')

Working with CSV Files (Comma-Separated Values):

import csv

# Reading CSV
with open('data.csv', 'r') as csv_file:
    csv_reader = csv.reader(csv_file)
    for row in csv_reader:
        print(row)

# Writing to CSV
with open('output.csv', 'w', newline='') as csv_file:
    csv_writer = csv.writer(csv_file)
    csv_writer.writerow(['Name', 'Age'])
    csv_writer.writerow(['John', 25])

Working with JSON (JavaScript Object Notation):

import json

# Reading JSON
with open('data.json', 'r') as json_file:
    data = json.load(json_file)
    print(data)

# Writing to JSON
data = {'name': 'John', 'age': 25}
with open('output.json', 'w') as json_file:
    json.dump(data, json_file)

2. Microsoft Excel…