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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 Complex Python Program Using Functions

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Complex Python program using functions

Here is an example of complex python program written using functions. Many times, in job interviews, you need to give a written test. There, you may need to answer tricky programs. Historically, people are afraid to take a test. Especially in python. 

Complex Python programs

Below are the Complex Python Program Using Functions and examples of how to write the code.
  1. Counting lower and upper case letters
  2. Creating a list

1. Counting lower and upper case letters

Below program counts the upper and lower case letters.


def count_lower_upper(s): dlu = {'Lower': 0, 'Upper': 0} for ch in s: if ch.islower(): dlu['Lower'] += 1 elif ch.isupper(): dlu['Upper'] += 1 return(dlu) d = count_lower_upper('James BOnd') print(d) d = count_lower_upper('Anant Amrut Mahalle') print(d)


python function program


Also read: How to Lose Your Weight


2. Creating a List


Here it uses two input lists for creating a new list. Additionally, it uses the list built-in function. 


def create_list(l1, l2): l3 = list(set(l1) & set(l2)) return(l3) lst1 = [10, 20, 30, 40, 50] lst2 = [1, 2, 3, 40, 10] lst3 = create_list(lst1, lst2) print(lst3)


tricky python program


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