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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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Top Skills You need for Data Science Engineers

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Data science job is not straight forward coding job. But coding is part of it. You need both Technical and business skills to be successful.

Responsibilities

  • Dealing with internal customers
  • Getting data from multiple data sources
  • Dealing with Admins of lot other databases
  • Preparing reports with Tableau
More: R for Data science with real time examples

Qualifications:

  • Lot of coding skills needed
  • Positive attitude
  • Innovative way of problem solving
  • Degree in engineering
  • Lot of business knowledge

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