Removing duplicates from a list in Python while preserving the order of elements can be done using a combination of a loop and a set. Here’s how you can do it:

1. Using a Set to Track Duplicates:
   • Create an empty set to keep track of elements that have already been seen.
   • Create a new list to store the elements without duplicates.
   • Iterate through the original list, and for each element, check if it’s in the set.
   • If it’s not in the set, add it to the set and the new list.
2. Code Example:
   
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   my_list = [1, 2, 2, 3, 4, 4, 4, 5]
   seen = set()
   unique_list = []
   for item in my_list:
       if item not in seen:
           seen.add(item)
           unique_list.append(item)
   print("Original list:", my_list)
   print("List without duplicates:", unique_list)
   

3. Alternative Method for Python 3.7+:
   • If you’re using Python 3.7 or newer, you can leverage the insertion-order preservation feature of dictionaries. Use the dict.fromkeys() method.

   
   			
   
                   
   
                       
   
                           
   
                           
   
                           
   
                       
                       
   
                           
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   my_list = [1, 2, 2, 3, 4, 4, 4, 5]
   unique_list = list(dict.fromkeys(my_list))
   print("List without duplicates:", unique_list)
    

Explanation:

• Using a Set: This method ensures that you track elements efficiently, as sets have average O(1) time complexity for membership checks.
• Preserving Order: Both methods maintain the order of elements as they appeared in the original list.

These techniques allow you to remove duplicates from a list while preserving the order, depending on your Python version and use case.