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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

13 Top Data Science Blogs To Read Now

Here is the list of top data science blogs. You can improve your knowledge and the latest happening n this field.

Here is the list of top data science blogs. You can improve your knowledge and the latest happening n this field.


13 Top Data Science Blogs To Read Now

  1. Data Quest
  2. Analyticsvidhya
  3. ApplyBigAnalytics
  4. Explorium
  5. Coursera-Blogs
  6. Netflixtechblog
  7. SAS Data Science Blogs
  8. DataScienceBlog
  9. Edureka Blogs
  10. ScienceSoft
  11. DataSciencedojo
  12. thisismetis
  13. CISCODataScience

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