how to upload python code with libraries to aws lambda from windows local machine using aws console

To upload Python code with libraries to AWS Lambda from a Windows local machine using the AWS Console, you can follow these steps:

1. Create a ZIP Archive:
   First, you need to create a ZIP archive that includes your Python code and any required libraries. Make sure your Python code and the libraries are in separate folders.

   For example, if your code is in a file named lambda_function.py and you have installed additional libraries using pip, create the following folder structure:

   Copy code
   my_lambda_function/
   
   ├── lambda_function.py
   
   ├── my_library/
   
   │   ├── library_module.py
   
   │   └── other_files.py
   
   

   Next, create a ZIP archive of the entire folder structure using your favorite compression tool. Ensure that the ZIP file is in the proper format, with the root directory being my_lambda_function.

2. Open the AWS Management Console:
   Go to the AWS Management Console (https://aws.amazon.com/console/), and sign in with your AWS account credentials.

3. Navigate to Lambda:
   In the AWS Management Console, navigate to the Lambda service by typing "Lambda" in the search bar and selecting "Lambda" from the list of services.

4. Create a Lambda Function:
   Click on the "Create function" button to create a new Lambda function.

5. Configure the Function:

   • Choose "Author from scratch."
   • Provide a name for your function.
   • Select the runtime as "Python."
   • Choose an existing role or create a new one with sufficient Lambda permissions.

6. Upload the ZIP Archive:
   In the "Function code" section, select "Upload from" and choose "Zip file." Click on the "Upload" button and select the ZIP archive you created in step 1.

7. Set Handler and Runtime:
   In the "Function code" section, set the "Handler" to the name of the Python file containing your Lambda handler function. For example, if your handler function is named lambda_handler, set the handler as lambda_function.lambda_handler.

8. Set Environment Variables (Optional):
   If your Python code relies on environment variables, you can set them in the "Environment variables" section.

9. Configure Basic Settings (Optional):
   In the "Basic settings" section, you can configure the memory and timeout settings for your Lambda function.

10. Create the Lambda Function:
    Click on the "Create function" button to create the Lambda function with your uploaded code.

That's it! Your Python code with the required libraries should now be uploaded to AWS Lambda, and you can invoke the Lambda function using various methods, such as API Gateway, CloudWatch Events, or manually through the Lambda console.