What is a dot operator in Python? And how powerful is it!?

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What is a dot operator in Python? And how powerful is it!?

 

well - if we say that almost everything in Python is an object. And furthermore - every object has certain attributes and methods.

 

In python - the typical connection between the attributes or the methods with the object is let us say named or we  an also say indicated _with_ - or let us say _by_ a “dot” (”.”) written between the attributes or the methods and the object. Let us illustrate this formal behavior in python with a little example; if we look at lessie the dog. This dog - we can say does alot of things:

 

during the whole live of a typical dog  we ca admit that - he runs, walks, bites, sleeps and lots of other thigns more.
Here’s how we can spell out the above mentioend behaviour in a so called object-oriented style - well we might write this:

Lessie = Dog()
Lessie.walks()
Lessie.wows()
Lessie.runs()
Lessie.bites()
Lessie.eats()

and so forth and so forth and so forth and so forth

 

Well besides the above mentioened things - we can say that Lessie has additionaly and furthermore lets say different attributes and different qualities.

the question is: can objects have even more objects that belong to them,

Lessie.head.hair()
Lessie.head.hair.color = "browm";
Lessie.head.mouth.theeth.length.()

quesiton: can objects have even other objects that also do belong to them - in other words - do they are able to have a connection to the object with their own methods or attributes:

 

[astropheed 2,247]

You can chain methods by returning an instance of self on a method call. You cannot chain objects as the dot operator is not an accessor for dictionaries. There are ways to hack an implementation of it, if you were so inclined, but I'd argue it'd be better to utilise the built-in native accessor syntax. There are many reasons to perform method chaining, mostly around quality of life for developers using your library. Not many reasons to use object chaining with the dot accessor other than you like how it looks.