Importing Pandas in AWS Lambda Functions Made Easy with Layers

AWS Lambda Layers have simplified the process of importing libraries like Pandas in Python scripts. By adding a layer, developers can reuse libraries and dependencies across multiple functions without cluttering their main code. In just three steps, you can successfully run Pandas in your Lambda Function.

First, navigate to the "Layers" section under your Lambda Function's name. Click on "Add a Layer" and select "AWS layers." Choose AWSSDKPandas-Python312 and version 13 from the dropdown menus. Then, click "Add" to attach the layer to your function.

With this approach, you can save space in your code, reuse libraries across functions, and easily update dependencies without modifying your core code. This is a valuable addition to the AWS Lambda ecosystem, making it easier for developers to work with popular libraries like Pandas.

Source: https://dev.to/heighter/how-to-import-pandaslibrary-in-aws-lambda-functions-aws-lambda-layers-1oen