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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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Python Subset: How to Get Subset of Dictionary

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Here's a sample program to get the python subset. In this case, you'll find logic for dictionary subsets.


Subset from a Dictionary in Python


Dictionary python

To illustrate, I have taken a dictionary as below with keys and values.

my_first_dict = {

'HP': 100
'IBM': 200
'NTT': 300
'ABC': 400
'GDF': 500
}

I want to make a subset of values greater than 100 and less than 400. How can you achieve this? No worries, below, you will find the logic.


Logic to get subset out of a dictionary

I am using dictionary comprehension to achieve this.

Syntax:


sub_set = { key:value for key, value in my_first_dict.items() value >100 and value <400}


Result

Dictionary comprehension


References

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