第一个 Lambda 函数(Python)
使用 Python 编写并部署您的第一个 AWS Lambda 函数,学习其基本结构和执行模型
第一个 Lambda 函数(Python) 是 CoddyKit 上的免费 Serverless Backend with AWS Lambda & API Gateway 课时。 这是第 3 节课,共 4 节。 你可以在下方免费阅读本课时的完整内容 — 然后在浏览器中使用内置代码编辑器和全天候 AI 导师进行实践。 这是 Serverless Backend with AWS Lambda & API Gateway 学习路径的一部分,你的进度在网页和 CoddyKit 应用中同步。 Serverless Backend with AWS Lambda & API Gateway 课程共包含 4 节课。
本课时的部分内容尚未翻译,以英文显示。
Welcome to AWS Lambda!
Time for your first function. AWS Lambda is Function as a Service: upload code, and Lambda runs it with zero servers to provision.
Why Python for Lambda?
Python is a great Lambda runtime — readable, rich libraries, perfect for APIs, data processing, and automation. Beginner-friendly too.
The Lambda Handler Function
Every Lambda needs an entry point: the handler. Lambda calls it with two args — event (input data) and context (runtime info).
Your First Python Lambda
Here's a minimal "Hello World" Lambda. All your logic lives in lambda_handler — run it locally to feel the shape.
import json
def lambda_handler(event, context):
# Your function's logic goes here
message = "Hello from your first Lambda!"
# Lambda functions typically return a dictionary
return {
'statusCode': 200,
'body': json.dumps(message)
}
# This block allows you to test your function locally
if __name__ == "__main__":
# Simulate an empty event and context for a simple test
mock_event = {}
mock_context = None
response = lambda_handler(mock_event, mock_context)
print("Local Test Response:", response)Understanding the 'event'
The event parameter carries the input that triggered your function, delivered as JSON and converted into a Python dict — an API call, an S3 upload, a queue message.
Code: Reading from the Event
Now read a name from the event, falling back to a default. Notice event.get('key', default) for safe access without KeyErrors.
import json
def lambda_handler(event, context):
# Get 'name' from the event, or default to 'there'
name = event.get('name', 'there')
message = f"Hello, {name} from Lambda!"
return {
'statusCode': 200,
'body': json.dumps(message)
}
# Local testing with different events
if __name__ == "__main__":
mock_event_with_name = {"name": "CoddyKit User"}
response_with_name = lambda_handler(mock_event_with_name, None)
print("With name:", response_with_name)
mock_event_no_name = {}
response_no_name = lambda_handler(mock_event_no_name, None)
print("Without name:", response_no_name)The 'context' Object
The context object exposes runtime info like aws_request_id, function_name, and remaining execution time. Handy even if you skip it often.
Returning a Standard Response
When API Gateway triggers your function, it expects a specific shape: a statusCode and a body that's a JSON string. That's how the client gets a clean response.
Code: Complete API Response
Here's a fuller, API-ready response with a Content-Type header and structured JSON body. We fake a context for local testing.
import json
def lambda_handler(event, context):
name = event.get('name', 'World')
# Simulate a context object for local testing
request_id = getattr(context, 'aws_request_id', 'local-test-id')
response_message = f"Greetings, {name}! Your request ID is {request_id}."
return {
'statusCode': 200,
'headers': {
'Content-Type': 'application/json'
},
'body': json.dumps({
'message': response_message,
'input_data': event # Echoing input for demonstration
})
}
# Local testing with a dummy context
if __name__ == "__main__":
class MockContext:
aws_request_id = 'mock-request-123'
mock_event = {"name": "CoddyKit"}
mock_context_obj = MockContext()
response = lambda_handler(mock_event, mock_context_obj)
print("Full API Response:", response)How Lambda Executes Your Code
On each event, Lambda spins up (or reuses) a container, loads your code, calls the handler, runs it, and returns the result — then waits or shuts down.
Quick Check
Which of the following best describes the purpose of the event parameter in a Python Lambda handler function?
Recap: Your First Lambda!
Recap: Lambda runs code with no servers. The handler is your entry point, event carries input as a dict, context gives runtime info, and you return a status + JSON body.
常见问题解答
「第一个 Lambda 函数(Python)」课时是免费的吗?
是的 — 「第一个 Lambda 函数(Python)」的完整文本可在网页上免费阅读。要进行交互式练习(内置代码编辑器和全天候 AI 导师)并解锁 Serverless Backend with AWS Lambda & API Gateway 课程的其余内容,请升级到 CoddyKit PRO。 Serverless Backend with AWS Lambda & API Gateway 课程共包含 4 节课。
「第一个 Lambda 函数(Python)」这节课中我会学到什么?
使用 Python 编写并部署您的第一个 AWS Lambda 函数,学习其基本结构和执行模型 你通过在浏览器中直接运行的动手代码来练习 Serverless Backend with AWS Lambda & API Gateway,全天候 AI 导师会在你学习这节课的过程中回答你的问题。
学习 Serverless Backend with AWS Lambda & API Gateway 需要有经验吗?
无需任何先前经验。CoddyKit 上的 Serverless Backend with AWS Lambda & API Gateway 课程适合初学者到高级学习者,你可以从这里开始或从头开始,按照自己的节奏学习。 这是第 3 节课,共 4 节。
「第一个 Lambda 函数(Python)」课时需要多长时间?
大多数 CoddyKit 课程大约需要 5–10 分钟。每节课都很精短且互动,所以你能稳步进步,并在网页和应用中从离开的地方继续。
我能在这节 Serverless Backend with AWS Lambda & API Gateway 课中编写并运行代码吗?
能。每节 Serverless Backend with AWS Lambda & API Gateway 课都包含内置代码编辑器,你可以在浏览器中直接编写并运行真实代码,并获得即时 AI 反馈 — 无需本地设置。
此课程中的所有课时
- 什么是无服务器
- AWS 核心服务概览
- 第一个 Lambda 函数(Python)
- 理解无服务器执行模型