Master Data. Lead with Technology.

name = input("Your name: ")
for day in range(1, 6):
    print(f"Day {day}: keep going, {name}!")

import pandas as pd
df = pd.read_csv("sales.csv")
df.groupby("region")["amount"].sum()

SELECT TOP 5 c.Name, SUM(o.Total) AS Spent
FROM Customers c JOIN Orders o ON o.CustomerID = c.ID
GROUP BY c.Name ORDER BY Spent DESC;

BACKUP DATABASE Sales
TO DISK = 'D:\Backups\Sales.bak'
WITH COMPRESSION, CHECKSUM;

SELECT Region, Month, Revenue
FROM dbo.SalesReport
WHERE Year = @Year AND Region IN (@Region);

Total Sales = SUM ( Sales[Amount] )
Sales LY = CALCULATE ( [Total Sales],
    SAMEPERIODLASTYEAR ( 'Date'[Date] ) )

prompt = "Explain this query and suggest an index"
reply = claude.messages.create(model=MODEL, messages=[...])
print(reply.content[0].text)

agent = Agent(tools=[run_sql, search_docs])
result = agent.run("Summarize last month's sales")
print(result)