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Best Practices for Handling Duplicate Elements in Python Lists

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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
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UNIX Shell Scripting and Job Scheduling

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Shell scripting and job scheduling are two major tasks for any UNIX developer. I am presenting here essential commands that need for any developer.

 Shell Scripts commands
  • Shell script basics
  • Variables in shell scripts
  • Kornshell arithmetic 
  • Commands for scripts
  • Flow control, tests, and expressions
  • Making Scripts Friendlier
  • Functions
  • Pipes and Shell Scripts
  • Scripts with awk and/or sed
Job Scheduling commands
  • bg and at
  • cron
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