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Best Practices for Handling Duplicate Elements in Python Lists

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

SQL: 8 Frequently Used DATE Functions

SQL Date functions
SQL DATE function for all Developers.

DATE Function is powerful in SQL. In SQL projects, people use this Function variety of ways.

All projects depends in DATE, and without it there is no way of existing of project. 

The Quick tour helps you use this function effectively. You can learn Oracle SQL step by step for all Developers.

Below is the list of SQL DATE functions
  • SYSDATE - It returns current local DATE and Time
  • CURRENT_DATE - Return local DATE and TIME and adjusted to current session Time Zone.
  • ROUND (DATE) - Rounds to nearest DAY
  • TRUNC (DATE) - Truncates Time
  • MONTHS_BETWEEN(date1,date2) - Returns number of months between date1 and date2'
  • LAST_DAY(DATE)- Returns last of the month
  • ADD_MONTHS(date,integer_months) - Adds specified number of months to specified date.
  • NEXT_DAY(date, day_of_week) - Returns to next day of the week that comes after the specified DATE
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