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Python Set Operations Explained: From Theory to Real-Time Applications

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A  set  in Python is an unordered collection of unique elements. It is useful when storing distinct values and performing operations like union, intersection, or difference. Real-Time Example: Removing Duplicate Customer Emails in a Marketing Campaign Imagine you are working on an email marketing campaign for your company. You have a list of customer emails, but some are duplicated. Using a set , you can remove duplicates efficiently before sending emails. Code Example: # List of customer emails (some duplicates) customer_emails = [ "alice@example.com" , "bob@example.com" , "charlie@example.com" , "alice@example.com" , "david@example.com" , "bob@example.com" ] # Convert list to a set to remove duplicates unique_emails = set (customer_emails) # Convert back to a list (if needed) unique_email_list = list (unique_emails) # Print the unique emails print ( "Unique customer emails:" , unique_email_list) Ou...
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Load Balancers in AWS: Choosing the Right Option for Your Application

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The load balancer's purpose is to balance the incoming traffic. It allocates the incoming traffic to the available healthy servers. Here are the top AWS load balancers.

AWS Load balancers


These are Application Load Balancer, Gateway Load Balancer, and Network Load Balancer.

  • Application Load Balancers
  • Gateway Load Balancers
  • Network Load Balancers
 


1. Application Load Balancers (ALB)

A Load balancer contains two parts - Listeners and Target groups. The listener then connects to a target group. The listener first checks the availability of connection according to the IP address and Port you did configure.




2. Gateway Load Balancers (GWLB)

A Gateway Load Balancer receives traffic from the source and sends the traffic to targets. It sends requests to multiple virtual appliances. It's the prime difference between ALB and GWLB.


3. Network Load Balancers (NLB)

A Network Load Balancer functions at the fourth layer of the Open Systems Interconnection (OSI) model. It can handle millions of requests per second. It takes routing decisions at the transport layer.


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