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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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Python String Comparison Top Ideas

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Python String Comparison Top Ideas

In Python, you can compare two strings how you would do on numbers. Python is stricter on string comparison. It identifies any small differences in strings. So Python is case sensitive while comparing it checks for identical ones.

  
Python follow-suite other languages. It compares strings for exact equals. Else, treat them as different strings.

Python String Comparison 

  • Extra spaces
  • Uppercase or Lowercase

#1 Example

>>> a = "Virginia"
>>> b = "virginia"
>>> a == b False 

The strings a and b are looking similar. But there is case sensitive difference. Python checks for extra white spaces as well as Upper or Lowe case letters.

#2 Example

>>> greet1 = "Hello "
>>> greet2 = "Hello"
>>> greet1  == greet2 False

The greet1 has space at the end whereas greet2 does not. Python looks at whitespace when comparing strings, so the two aren’t considered equal.

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