How to deploy python project folder in AWS lambda and create webhook
Deploying a Python project folder to AWS Lambda and creating a webhook involves several steps. Below is a comprehensive guide to help you through the process.

### Step 1: Prepare Your Python Project

1. **Create Your Project Folder**: Organize your Python project files into a folder. Make sure you have a main Python file (e.g., `app.py`) that contains your Lambda function handler.

2. **Dependencies**: If your project has dependencies, create a `requirements.txt` file listing all the packages your project needs. You can generate this file using:

   ```bash
   pip freeze > requirements.txt
   ```

3. **Lambda Function Handler**: Ensure your main Python file contains a handler function that AWS Lambda can invoke. For example:

   ```python
   def lambda_handler(event, context):
       # Your code here
       return {
           'statusCode': 200,
           'body': 'Hello, World!'
       }
   ```

### Step 2: Package Your Project

1. **Install Dependencies Locally**: If your Lambda function has external dependencies, install them locally in your project directory. You can do this by using the following command:

   ```bash
   pip install -r requirements.txt -t .
   ```

   This command installs the packages in the current directory (i.e., your project folder).

2. **Zip Your Project**: Create a zip file of your project folder. Make sure to zip the contents
How to deploy python project folder in AWS lambda and create webhook for slack.

1. Create a Python project in your local machine and install the required dependencies.

2. Package your Python project as a ZIP file.

   ```
   $ cd your_project_folder
   $ zip -r your_project_name.zip .
   ```

3. Create a new Lambda function in the AWS Management Console.

   - Go to the AWS Management Console and navigate to the Lambda service.
   - Click on "Create function" and select "Author from scratch".
   - Enter a name for your function, choose the Python runtime (e.g., Python 3.8), and set the function role to a pre-existing role or create a new one.
   - Click on "Create function".

4. Upload your Python project ZIP file to the Lambda function.

   - In the function code section, click on "Upload" and choose "Upload from" and select "File".
   - Select your_project_name.zip file and click on "Open".
   - Click on "Save".

5. Set the handler for your Lambda function.

   - In the function code section, set the handler to the entry point of your Python script (e.g., `your_project_name.lambda_handler`).

6. Create an IAM role for Lambda