install python dependency and libraries on aws lambda

installing python dependencies and libraries in aws lambda can be a bit different from traditional environments due to the nature of lambda's execution model. here’s a step-by-step tutorial on how to do it effectively.

step 1: set up your development environment

before you can deploy your aws lambda function, you’ll need a local development environment. make sure you have:

- **python** installed (preferably version 3.6, 3.7, 3.8, or 3.9, as lambda supports these).
- **aws cli** installed and configured with your aws credentials.
- **a zip utility** (like `zip` command on unix/linux or windows built-in zip utility).

step 2: create your lambda function

1. **create a directory for your lambda function**:
```bash
mkdir my_lambda_function
cd my_lambda_function
```

2. **create a python file**:

```python
def lambda_handler(event, context):
return {
'statuscode': 200,
'body': 'hello from lambda!'
}
```

step 3: install dependencies locally

this file will contain all your dependencies. for example:
```plaintext
requests
numpy
```

2. **install dependencies**:
you will need to install these dependencies into a folder that can be zipped and uploaded to aws lambda. use the following command to install the packages into a directory named `package`.

```bash
```

3. **copy your lambda function code**:

```bash
```

step 4: create the deployment package

1. **navigate to the package directory**:
```bash
cd package
```

2. **zip the contents**:
make sure to zip the contents of the directory, not the directory itself.

```bash
```

3. **return to the ...

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