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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 Supports These 5 Native Data types

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Python supports five native data types. The Data types are such that a Programmer can use to write the logic and get the output. Many beginners may not aware of native data types. So I am adding a short note on that here. Native means as is Python supported data types.


Python Five Key Native Data Types
Python Five Key Native Data Types

Python Native Data Types

In Python, you can find five types of native data types. Here is a quick list for you. Those are Number, String, List, Tuple, Set, and Dictionary.


1. Number

For all the numeric values,  you can use this data type.


2. String

It handles all Characters, Special-symbols, and Alphanumeric values.


3. List

It is something like sequential data. A program can do Sort, Merge, etc. on this data.


4. Tuple

Data is a little different from the List.


5. Set

This kind of Data-type helps you to do set operations. Those are like Intersection, Difference, etc.


6. Dictionary

Here, the Dictionary something like a group of List kinds of data. But, each value has a key associated with it.


References

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