Showing posts with the label Kubernetes

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Best Practices for Handling Duplicate Elements in Python Lists

Here are three awesome ways that you can use to remove duplicates in a list. These are helpful in resolving your data analytics solutions.  01. Using a Set Convert the list into a set , which automatically removes duplicates due to its unique element nature, and then convert the set back to a list. Solution: original_list = [2, 4, 6, 2, 8, 6, 10] unique_list = list(set(original_list)) 02. Using a Loop Iterate through the original list and append elements to a new list only if they haven't been added before. Solution: original_list = [2, 4, 6, 2, 8, 6, 10] unique_list = [] for item in original_list:     if item not in unique_list:         unique_list.append(item) 03. Using List Comprehension Create a new list using a list comprehension that includes only the elements not already present in the new list. Solution: original_list = [2, 4, 6, 2, 8, 6, 10] unique_list = [] [unique_list.append(item) for item in original_list if item not in unique_list] All three methods will result in uni

13 Tricky Kubernetes Os Interview Questions

THE tricky interview questions will simplify your job search - the listed questions are in the order of basic to midlevel skills. Kubernetes is an operating system built to work on Linux distributions for the sole purpose of Kubernetes Cluster. Kubernetes 13 Tricky Kubernetes Interview Questions. These interview questions help you to recap before the interviews. Also, you can use this knowledge for your projects. 1. What is Kubernetes? Kubernetes is OS (operating system) on the cloud, which oversees the cloud-native containerized apps. It is an orchestrator, which takes care of cloud apps - updates, rollback, scale-up, scale down, maintenance, etc. 2. What are Cloud-native apps? These run on the cloud, which means on any cloud - private, public, hybrid. They also run in an on-premise datacenter. The right answer is- applications designed and written in such a way that scale up or scale down as demand rises or fallen. 3. What are Containerized apps? Containers, which have images of apps