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Python Property Decorators: @property, @setter, and @deleter

Manage calculated attributes and validated assignments with property decorators.

2 views Published Oct 17, 2026 Updated Oct 18, 2026 Admin

Manage calculated attributes and validated assignments with property decorators.

How It Works


@property exposes a method as a read-style attribute. A matching @name.setter validates assignments, and @name.deleter defines optional deletion behavior; each operation is explicit.

Read-only properties need only the getter; mutable properties should protect invariants.

Step-by-Step Example


class Thermostat:
    def __init__(self, target_temperature):
        self.target_temperature = target_temperature

    @property
    def target_temperature(self):
        return self._target_temperature

    @target_temperature.setter
    def target_temperature(self, value):
        if not -20 <= value <= 50:
            raise ValueError("Temperature out of range")
        self._target_temperature = value

    @target_temperature.deleter
    def target_temperature(self):
        del self._target_temperature

thermostat = Thermostat(22)
print(thermostat.target_temperature)
del thermostat.target_temperature
print(hasattr(thermostat, "_target_temperature"))

Understanding the Example


  • The class groups related state and methods so each instance can manage its own values.
  • The function definition gives the operation a reusable name and makes its inputs explicit.

A successful run of this example prints the following output:

22
False

Where This Fits in a Real Program


Before putting the technique into a larger program, identify the required inputs and which results are returned. Choose what should happen with invalid or missing data, and test a small valid case and a failing case independently.

Practice: Try It Yourself


Add a temperature property that rejects invalid values.

For this exercise, predict the result before running the changed code. Then explain the difference between the original and modified cases using the actual values, not just whether the program completed.

Further Reading


Read the official Python documentation for complete parameters, return types and exceptions.

Common Beginner Mistakes


  • Accidentally assigning to the same property from its setter and causing infinite recursion.
  • Assuming a property automatically provides a setter or deleter without defining one.

Key Takeaways


  • Manage calculated attributes and validated assignments with property decorators.
  • @property exposes a method as a read-style attribute.
  • Read-only properties need only the getter; mutable properties should protect invariants.
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