# Setting up a VPC with CDK in Python [AWS CDK](https://docs.aws.amazon.com/cdk/latest/guide/home.html) is a very neat way to write infrastructure as code, enabling you to create and provision AWS infrastructure deployments predictably and repeatedly. You choose your favorite language to code what resources (stacks) you want, and CDK synthetizes them to CloudFormation and helps you to deploy them to AWS. In this example we see how to setup a VPC using CDK in Python. ### Install AWS CDK Follow [this instructions](https://github.com/aws/aws-cdk#at-a-glance). ### Create a virtual environment and install dependencies: ``` virtualenv venv source venv/bin/activate pip install -r requirements.txt ``` Note: If you are starting from a blank project with `cdk init app --language=python` instead, you will we need to manually install resources, such as `pip install aws_cdk.aws_ec2`. ### Define You VPC Define how you want your VPC in the file `vpc_example/vpc_example_stack.py`: ``` class VpcExampleStack(core.Stack): def __init__(self, scope: core.Construct, id: str, **kwargs) -> None: super().__init__(scope, id, **kwargs) vpc = aws_ec2.Vpc(self, "MiaVPCTest", cidr="10.0.0.0/16", max_azs=3) ``` ### Create synthesized CloudFormation template ``` cdk synth ``` You can check what changes this introduces into your AWS account: ``` cdk diff --profile ``` ### Deploy to AWS If everything looks right, deploy: ``` cdk deploy --profile ``` To check all the stacks in the app: ``` cdk ls ``` ### Clean up To destroy/remove all the newly created resources, run: ``` cdk destroy --profile ```