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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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SQL PLSQL Top Reserved Keywords

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To become perfect in PL/SQL is an art. Knowing of top reserved words helps you to be a master in SQL.

Before you start knowing reserved words, wait one moment. The reserved words are similar to the words that you use in normal SQL.

SQL, PLSQL Reserved Words


PLSQL reserved words
PL/SQL Reserved Words


A Video on Basic PL/SQL

Basic PL/SQL Video Lesson for all professionals.

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