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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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2 Multiline Commenting Ideas in Python

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Here are two ways you can comment out multiple lines in python. Python Multiline Comments These are two popular methods Viz Backslash and Triple quote methods. 1. Backslash method >>> s = "This is a test of the emergency broadcast system" \ … " and it will display an emergency if you put a line of text" \ … " that is more than 80 characters on a single line" >>> print(s) This is a test of the emergency broadcast system and it will display an emergency if you put a line of text that is more than 80 characters on a single line 2. Triple quote method >>> s1 = """ This is a test of the emergency broadcast system. … and it will display an emergency if you put a line of text … that is more than 80 characters on a single line … """ >>> print(s1) This is a test of the emergency broadcast system. and it will display an emergency if you put a line of text that is more than 80 characters on a single l
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How to Explain String Immutability in Python Correctly

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Here is an answer to explain the immutability of Strings in Python. It means that you can't modify the string. Due to this, you can use strings securely in many places of your project. How to check string immutability Here is an example. In the python shell, assign a value of your choice to a string. Here my choice is ABCD, and I have assigned it to myString. I have tried to replace A with Z. But, it gave an error due to the immutability of strings. >>> myString = 'ABCD' >>>myString [0] = 'Z' What is learning here The strings immutability is an interview question. In interviews, you can say that strings are immutable, and you can't replace its data. Benefits of strings immutability It saves a lot of time since the data in strings are immutable. It results in high performance. String objects you can reuse as no one can modify its value. Strings are elemental. So no activity can change its value ( these are more like numbers). References Powerful
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