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Showing posts with the label Lambda Functions

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How to Build CI/CD Pipeline: GitHub to AWS

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 Creating a CI/CD pipeline to deploy a project from GitHub to AWS can be done using various AWS services like AWS CodePipeline, AWS CodeBuild, and optionally AWS CodeDeploy or Amazon ECS for application deployment. Below is a high-level guide on how to set up a basic GitHub to AWS pipeline: Prerequisites AWS Account : Ensure access to the AWS account with the necessary permissions. GitHub Repository : Have your application code hosted on GitHub. IAM Roles : Create necessary IAM roles with permissions to interact with AWS services (e.g., CodePipeline, CodeBuild, S3, ECS, etc.). AWS CLI : Install and configure the AWS CLI for easier management of services. Step 1: Create an S3 Bucket for Artifacts AWS CodePipeline requires an S3 bucket to store artifacts (builds, deployments, etc.). Go to the S3 service in the AWS Management Console. Create a new bucket, ensuring it has a unique name. Note the bucket name for later use. Step 2: Set Up AWS CodeBuild CodeBuild will handle the build proces
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How to Write Lambda Function Quickly in Python: 5 Examples

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Here are the top python lambda function examples for your project and interviews. "Python's lambda functions are a powerful way to create small, anonymous functions on the fly. In this post, we'll explore some examples of how to use lambda functions in Python. 5 Best Python Lambda Function Examples #1 Sorting a List of Tuples by the Second Element This lambda function sorts a list of tuples based on the second element of each tuple. python code my_list = [(1, 2), (4, 1), (9, 10), (13, 6), (5, 7)] sorted_list = sorted(my_list, key=lambda x: x[1]) print(sorted_list) Output: [(4, 1), (1, 2), (13, 6), (5, 7), (9, 10)] ** Process exited - Return Code: 0 ** Press Enter to exit terminal #2 Finding the Maximum Value in a List of Dictionaries This lambda function finds the maximum value in a list of dictionaries based on a specific key. python code my_list = [{'name': 'Alice', 'age': 25}, {'name': 'Bob', 'age': 30}, {'name': &
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