Python - Append Missing Elements from Other List Last Updated : 01 Feb, 2025 Summarize Comments Improve Suggest changes Share Like Article Like Report We are given two lists, and our task is to append elements from the second list to the first list, but only if they are not already present. This ensures that the first list contains all unique elements from both lists without duplicates. For example, if a = [1, 2, 3] and b = [2, 3, 4, 5], the result should be [1, 2, 3, 4, 5]. Let's discuss different methods in which we can do this in Python.Using set() We can use a set() to store elements of the first list, allowing for faster lookups compared to checking membership in a list, which requires a linear search for each element. Python # Initializing lists a = [1, 2, 3] b = [2, 3, 4, 5] # Using set for quick lookup s = set(a) for x in b: if x not in s: a.append(x) s.add(x) print(a) Output[1, 2, 3, 4, 5] Explanation:A set 's' is created from a for fast lookups.Missing elements from b are added to both a and s to maintain uniqueness.Let's explore some more ways and see how we can append missing elements from other list.Table of ContentUsing Set UnionUsing itertools.chain()Using List ComprehensionUsing for Loop and in OperatorUsing Set UnionThe set union() method provides a direct way to merge unique elements from both lists, ensuring no duplicates while efficiently merging them. Python # Initializing lists a = [1, 2, 3] b = [2, 3, 4, 5] # Using set union a = list(set(a) | set(b)) print(a) Output[1, 2, 3, 4, 5] Explanation:set(a) | set(b) merges unique elements from both lists.The result is converted back to a list.Using itertools.chain()itertools.chain() method combines both lists and dict.fromkeys() removes duplicates while maintaining order. Python from itertools import chain # Initializing lists a = [1, 2, 3] b = [2, 3, 4, 5] # Using itertools and dict to maintain order a = list(dict.fromkeys(chain(a, b))) print(a) # Output: [1, 2, 3, 4, 5] Output[1, 2, 3, 4, 5] Explanation:chain(a, b) joins both lists.dict.fromkeys() removes duplicates while preserving the original order.Using List ComprehensionList comprehension allows us to filter out missing elements efficiently before appending them to the list.. Python # Initializing lists a = [1, 2, 3] b = [2, 3, 4, 5] # Extracting missing elements a.extend([x for x in b if x not in a]) print(a) Output[1, 2, 3, 4, 5] Explanation:The list comprehension filters elements in b that are not in a.extend() is used to append them to a.Using for Loop and in OperatorA simple way to check for missing elements and append them is by iterating through the second list. Python # Initializing lists a = [1, 2, 3] b = [2, 3, 4, 5] # Appending missing elements for x in b: if x not in a: a.append(x) print(a) Output[1, 2, 3, 4, 5] Explanation:The for loop iterates through b and checks if each element is in a.If an element is missing, it is appended to a. 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