入门教程、案例源码、学习资料、读者群
大家好，欢迎来到 Crossin的编程教室 ！
在之前的文章 用ChatGPT写一个数据采集程序 中，我们演示了如何用 ChatGPT 辅助编写代码。
除了直接让ChatGPT写代码，我们也可以让它生成一些开发中使用的测试数据。
比如在开发和测试时，常会用到 JSON 格式的数据：
[ { "id": 1, "name": "John Smith", "age": 28, "gender": "male", "email": "john.smith@example.com", "address": "123 Main Street, City", "phone": "123-456-7890" }, { "id": 2, "name": "Jane Doe", "age": 32, "gender": "female", "email": "jane.doe@example.com", "address": "456 Oak Avenue, Town", "phone": "987-654-3210" }, { "id": 3, "name": "David Johnson", "age": 45, "gender": "male", "email": "david.johnson@example.com", "address": "789 Elm Street, Village", "phone": "555-123-4567" }, { "id": 4, "name": "Emily Williams", "age": 21, "gender": "female", "email": "emily.williams@example.com", "address": "321 Pine Avenue, Town", "phone": "777-888-9999" }]
如果对数据内容或结构不满意，可以让ChatGPT做进一步修改，比如增加一个存在重复数据的字段：
[ { "id": 1, "name": "John Smith", "age": 28, "gender": "male", "email": "john.smith@example.com", "address": "123 Main Street, City", "phone": "123-456-7890", "occupation": "engineer" }, { "id":
2, "name": "Jane Doe", "age": 32, "gender": "female", "email": "jane.doe@example.com", "address": "456 Oak Avenue, Town", "phone": "987-654-3210", "occupation": "doctor" }, { "id": 3, "name": "David Johnson", "age": 45, "gender": "male", "email": "david.johnson@example.com", "address": "789 Elm Street, Village", "phone": "555-123-4567", "occupation": "teacher" }, { "id": 4, "name": "Emily Williams", "age": 21, "gender": "female", "email": "emily.williams@example.com", "address": "321 Pine Avenue, Town", "phone": "777-888-9999", "occupation": "engineer" }]
数据的格式也可以很方便地调整，比如从JSON换成XML：
<users> <user> <id>1id> <name>John Smithname> <age>28age> <gender>malegender> <email>john.smith@example.comemail> <address>123 Main Street, Cityaddress> <phone>123-456-7890phone> <occupation>engineeroccupation> user> <user> <id>2id> <name>Jane Doename> <age>32age> <gender>femalegender> <email>jane.doe@example.comemail> <address>456 Oak Avenue, Townaddress> <phone>987-654-3210phone> <occupation>doctoroccupation> user> <user> <id>3id> <name
>David Johnsonname> <age>45age> <gender>malegender> <email>david.johnson@example.comemail> <address>789 Elm Street, Villageaddress> <phone>555-123-4567phone> <occupation>teacheroccupation> user> <user> <id>4id> <name>Emily Williamsname> <age>21age> <gender>femalegender> <email>emily.williams@example.comemail> <address>321 Pine Avenue, Townaddress> <phone>777-888-9999phone> <occupation>engineeroccupation> user>users>
有同学要说了，可以用 faker 模块来生成哎！
是的，但那样毕竟也要自己动手写代码，还可能时不时要调整。现在有ChatGPT的辅助，可以秒出数据，岂不是更轻松？
当然你也可以将二者结合，比如这样：
import randomfrom faker import Fakerimport json
faker = Faker()
def generate_user_data(num_users): users = [] for _ in range(num_users): user = { "id": faker.random_number(digits=4), "name": faker.name(), "age": random.randint(18, 60), "gender": random.choice(["male", "female"]), "email": faker.email(), "address": faker.address(), "phone": faker.phone_number() } users.append(user) return users
num_users = 4user_data = generate_user_data(num_users)
json_data = json.dumps(user_data, indent=4)print(json_data)
以往在开发中，如果需要类似的测试数据，手动编写是非常耗时和低效的。现在，类似的很多编程辅助工作都可交由ChatGPT来处理，从而让开发者把时间花在更重要的事情之上。
以上内容节选自Crossin的新书《码上行动：零基础学会PYTHON编程（CHATGPT版）》。
本书力求做到浅显易懂，让完全没有编程经验的零基础“小白”也能学会Python。内容从环境搭建这种最基础的步骤开始讲起，逐渐深入到常见的实际应用当中。在讲解知识点的同时配有相应的代码示例，让读者可以边学边练加深理解。
全书涵盖Python环境搭建、基础语法、常见数据类型、实用模块、正则表达式、面向对象编程、多任务编程等知识点。另外还提供了爬虫、GUI、游戏三个实战项目。
书中还创新地使用 ChatGPT 作为编程学习的辅助，带领读者探索AI时代下学习编程的新模式。
目前京东618活动正在进行中，购买本书可享5折优惠。
公众号的读者朋友们购买后可在后台联系我，加入读者交流群，Crossin会为你开启陪读模式，解答你在阅读本书时的一切疑问。
_往期文章推荐_
