with open('example.txt', 'r', encoding='utf-8') as file:
    content = file.read()
    print(content)

with open('example.txt', 'r', encoding='utf-8') as file:
    for line in file:
        print(line.strip())

# 寫(xiě)入文件
with open('output.txt', 'w', encoding='utf-8') as file:
    file.write('Hello, Python!\n')
    file.write('Welcome to file operations.\n')

# 追加內(nèi)容到文件
with open('output.txt', 'a', encoding='utf-8') as file:
    file.write('\nGoodbye, Python!')

with open('example.txt', 'r', encoding='utf-8') as file:
    lines = file.readlines()
    for line in lines:
        print(line.strip())

lines_to_write = ['First line.\n', 'Second line.\n', 'Third line.\n']
with open('output.txt', 'w', encoding='utf-8') as file:
    file.writelines(lines_to_write)

import csv

# 寫(xiě)入CSV文件
with open('data.csv', 'w', newline='', encoding='utf-8') as file:
    writer = csv.writer(file)
    writer.writerow(['Name', 'Age', 'City'])
    writer.writerows([['Alice', 30, 'New York'], ['Bob', 25, 'Los Angeles']])

# 讀取CSV文件
with open('data.csv', 'r', encoding='utf-8') as file:
    reader = csv.reader(file)
    for row in reader:
        print(row)

import json

# 序列化對(duì)象并寫(xiě)入JSON文件
data = {'name': 'Alice', 'age': 30, 'city': 'New York'}
with open('data.json', 'w', encoding='utf-8') as file:
    json.dump(data, file, ensure_ascii=False, indent=4)

# 從JSON文件中反序列化對(duì)象
with open('data.json', 'r', encoding='utf-8') as file:
    loaded_data = json.load(file)
    print(loaded_data)