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How to Work With Tuple in Python

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Tuple in python is one of the streaming datasets. The other streaming datasets are List and Dictionary. Operations that you can perform on it are shown here for your reference. Writing tuple is easy. It has values of comma separated, and enclosed with parenthesis '()'. The values in the tuple are immutable, which means you cannot replace with new values. #1. How to create a tuple Code: my_tuple=(1,2,3,4,5) print(my_tuple) Output: (1, 2, 3, 4, 5) ** Process exited - Return Code: 0 ** Press Enter to exit terminal #2. How to read tuple values Code: print(my_tuple[0]) Output: 1 ** Process exited - Return Code: 0 ** Press Enter to exit terminal #3. How to add two tuples Code: a=(1,6,7,8) c=(3,4,5,6,7,8) d=print(a+c) Output: (1, 6, 7, 8, 3, 4, 5, 6, 7, 8) ** Process exited - Return Code: 0 ** Press Enter to exit terminal #4.  How to count tuple values Here the count is not counting values; count the repetition of a given value. Code: sample=(1, 6, 7, 8, 3, 4, 5, 6, 7, 8) print(sample

Cloud Computing: Horizontal Vs. Vertical Scaling

The purpose of cloud computing is resource utilization. You can scale up the resources in two ways - vertical and horizontal.

Adding resources, you can do either horizontally and vertically. The advantages and drawbacks you can find in simple words.


Cloud Computing: Horizontal Vs. Vertical Scaling
Scaling

1. Horizontal Scaling


Advantages


  • You can increase workloads in small steps.
  • The upgrade-cost is far less.
  • Scale the system as much as needed.


Drawbacks

  • Dependency on software applications is more for Data distribution and parallel processing.
  • On top of that, fewer software applications exist in the market.


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2. Vertical Scaling




Advantages



  • Since it is a single machine, it is easy to manage.
  • On the fly, you can increase workloads.



Drawbacks


  • It is expensive. You need a huge investment.
  • The machine should be powerful to take more workloads - future use.


Below is the List of Resources that You can do both Horizontal and Vertical Scaling



  1. Platform Scaling
  2. Network Scaling
  3. Container Scaling
  4. Database Scaling


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