Aws lambda external python dependencies tutorial cloud9 ide

certainly! aws lambda allows you to run your code without provisioning or managing servers, and it supports various programming languages, including python. when your lambda function requires external libraries or dependencies, you need to package them properly. in this tutorial, we’ll use aws cloud9 to create a python lambda function with external dependencies.

### tutorial overview
1. set up aws cloud9 environment.
2. create a python lambda function.
3. install external dependencies.
4. package and deploy the lambda function.
5. test the function.

### prerequisites
- an aws account.
- basic understanding of python and aws services.

### step 1: set up aws cloud9 environment

1. **log in to your aws management console.**
2. **navigate to cloud9:**
- search for "cloud9" in the services search bar and select it.
3. **create a new environment:**
- click on "create environment."
- enter a name and description for your environment.
- choose the instance type (the default is usually sufficient).
- set the environment to be created in your preferred vpc and subnet.
- click on "create environment."

### step 2: create a python lambda function

1. **open the terminal in cloud9.**
2. **create a new directory:**





### step 3: install external dependencies

1. **create a requirements file.**



3. **install dependencies in a directory called `python`:**


### step 4: package and deploy the lambda function

1. **zip the contents:**


2. **deploy the lambda function:**
- go to the aws lambda service in the aws management console.
- click on "create function."
- choose "author from scratch."
- specify a function name and choose python as the runtime.
- under "permissions," you can create a new role with basic lambda permissions.
- c ...

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