After reading this chapter in "Expert Python Programming" -
Advanced Attrbiute Access patterns - https://subscription.packtpub.com/book/application_development/9781789808896/4/ch04lvl1sec39/advanced-attribute-access-patterns
decided to implement @property partially.
Here is the final result - https://gist.github.com/mzsrtgzr2/46975900b8d7a8e6f8cc51d1a40ca940

class myproperty:
    def __init__(self, func):
        self.f = func

    def setter(self, func):
        self.setter_func = func
        return self # (1) why do we need this? read below on 

    def __get__(self, instance, klass):
        return self.f(instance or klass)

    def __set__(self, instance, value):
        self.setter_func(instance, value)


class Foo:
    def __init__(self):
        self._val=0

    @myproperty
    def temperature(self):
        return self._val

    @temperature.setter
    def temperature(self, value):  # (2) why need same name as getter?
        print('setting to', value)
        self._val = value

ins = Foo()

print(int.temperature)  # 0
ins.temperature = 6
print(int.temperature)  # 6

It's important to understand how decorators work. This is the key to understand this code. The decorated function is REPLACED with an instance of your decorator (or a function in case you use a decorator function and not class). That being said, you can add functionality to your decorator class like __get__ and __set__, like in the code above.
__get__ - doing a "read" operation on the decorator class.
__set__ - doing a "write" operation on the decorator class.

This is another way to look at decorators - it can be used for "data descriptors" (when you access a field, as in ins.temperature) and not just as function wrappers (implemented with __call__, as in ins.temperature()).

Important - why is the decorated set method should also be named temperature?

A decorator works like this:

@dec 
def func1:
   pass

actually converts to

func1 = dec(func1)

so the name of the function is important.

What happens if we don't use the same name in (2) or drop the return self statement at the end of our decorator: what used to be temperature in our class is overridden to None - losing all the functionality we thought we built. We really happens:

class Foo:
    def __init__(self):
        self._val=0

    def temperature(self):
        return self._val
    temperature = myproperty(temperature)  # instantiating myproperty class

    def temperature(self, value):  # (2) why need same name as getter?
        print('setting to', value)
        self._val = value

    temperature = temperature.setter(temperature)

In this example, the property field temperature is always the reference name and can't change it.