In Python, just like in other programming languages, an Abstract Data Type (ADT) refers to a high-level, abstract representation of a data structure and the operations that can be performed on it, without specifying the concrete implementation details. Python provides a flexible environment for working with ADTs, as it allows you to define classes and objects to create custom data structures with associated behaviors.

Here's how you can create an ADT in Python:

1. Define a Class: Define a class that represents the abstract data type. This class will include attributes for storing data and methods for performing operations on that data.

2. Encapsulation: Encapsulate the data and methods within the class. This means that the class's attributes and methods are self-contained within the class and can be accessed only through well-defined interfaces (i.e., class methods and properties).

3. Define Methods: Create methods within the class to represent the operations that the ADT should support. The methods should operate on the internal data and provide the desired functionality.

4. Use Constructors: Define an initialization method (usually named __init__) to set up the initial state of the ADT when an object is created from the class.

5. Document the ADT: Provide clear and concise documentation within the class, including comments and docstrings, to explain how the ADT should be used, what each method does, and any constraints or invariants.

6. Instantiate Objects: Create objects (instances) of the class to work with the ADT. Each object represents a distinct instance of the ADT.

Here's a simplified example of creating an ADT for a stack in Python:

class Stack:
    def __init__(self):
        self.items = []

    def push(self, item):
        self.items.append(item)

    def pop(self):
        if not self.is_empty():
            return self.items.pop()

    def is_empty(self):
        return len(self.items) == 0

    def size(self):
        return len(self.items)

In this example, the Stack class encapsulates a list (self.items) and provides methods for the stack operations (push, pop, is_empty, and size).

You can then create instances of the Stack class and use them to work with a stack data structure:

stack = Stack()
stack.push(42)
stack.push(123)
print(stack.pop())  # Outputs: 123
print("Is empty?", stack.is_empty())  # Outputs: Is empty? False