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The Not Operator
What about negating a boolean mask? In Pandas, you use the ~ operator, though direct comparisons can still use !=.
# Tracks that are NOT available
unavailable = df[~(df["status"] == "available")]
# Available tracks that are NOT in the US market
available_not_us = df[(df["status"] == "available") & ~(df["market"] == "US")]
The ~ flips boolean values – True becomes False and vice versa.
Just like & and |, wrap the thing you're negating in parentheses: ~(df["market"] == "US"). It keeps the precedence unambiguous.
Assignment
The West Coast SnackStack team wants to monitor every device outside their own region – but only the ones that are still reachable.
Complete the get_devices_outside_region function. It accepts a DataFrame of devices and a region, and returns only the devices outside that region that are still online.