Windowell Expressions -

I'll help you develop a feature. Since "Windowell" isn't a standard term, I'll assume you're referring to window functions with well-expressions (possibly for a data processing, SQL-like engine, or streaming analytics system).

def test_named_window(self): weekly = WindowellBuilder()\ .partition('product')\ .order('date')\ .rows_between(3, 'preceding', 0, 'current_row')\ .build('weekly_sales') windowell expressions

-- Using windowell in query SELECT product_id, sale_date, amount, AVG(amount) OVER weekly_sales as moving_avg, SUM(amount) OVER (weekly_sales ROWS UNBOUNDED PRECEDING) as cumulative_sales FROM sales I'll help you develop a feature