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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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13 Top Data Science Blogs To Read Now

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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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