Module Glossary

Page Maps

graph LR
  family["Python Programming"]
  program["Python Object-Oriented Programming"]
  section["Object Semantics Data Model"]
  page["Module Glossary"]
  capstone["Capstone evidence"]

  family --> program --> section --> page
  page -.applies in.-> capstone

flowchart LR
  orient["Orient on the page map"] --> read["Read the main claim and examples"]
  read --> inspect["Inspect the related code, proof, or capstone surface"]
  inspect --> verify["Run or review the verification path"]
  verify --> apply["Apply the idea back to the module and capstone"]

This glossary belongs to Module 01: Object Semantics and the Python Data Model in Python Object-Oriented Programming. It keeps the language of this directory stable so the same ideas keep the same names across reading, practice, review, and capstone proof.

How to use this glossary

Read the directory index first, then return here whenever a page, command, or review discussion starts to feel more vague than the course intends. The goal is stable language, not extra theory.

Terms in this directory

Term	Meaning in this directory
Attribute Layout – __dict__, Class vs Instance, Descriptors in the Chain	the module's treatment of attribute layout – __dict__, class vs instance, descriptors in the chain, used to make the module's main design claim concrete in design work, refactoring, and capstone evidence.
Collections Hazards – Aliasing, Mutable Keys, and Shared State	the module's treatment of collections hazards – aliasing, mutable keys, and shared state, used to make the module's main design claim concrete in design work, refactoring, and capstone evidence.
Construction Discipline – __init__, Required State, and Half-Baked Objects	the module's treatment of construction discipline – __init__, required state, and half-baked objects, used to make the module's main design claim concrete in design work, refactoring, and capstone evidence.
Copying and Cloning – Shallow, Deep, and Custom Semantics	the module's treatment of copying and cloning – shallow, deep, and custom semantics, used to make the module's main design claim concrete in design work, refactoring, and capstone evidence.
Encapsulation and Public Surface – Representations, Debuggability, and Leaks	the module's treatment of encapsulation and public surface – representations, debuggability, and leaks, used to make the module's main design claim concrete in design work, refactoring, and capstone evidence.
Equality, Ordering, and Hashing – Contracts with Containers	the module's treatment of equality, ordering, and hashing – contracts with containers, used to make the module's main design claim concrete in design work, refactoring, and capstone evidence.
Object Identity, State, and Behavior – Python’s Real Model	the module's treatment of object identity, state, and behavior – python’s real model, used to make the module's main design claim concrete in design work, refactoring, and capstone evidence.
Python Data Model as Design Surface – Iteration, Containers, Context, Numeric	the module's treatment of python data model as design surface – iteration, containers, context, numeric, used to make the module's main design claim concrete in design work, refactoring, and capstone evidence.
Refactor 0 – Script → Object Model with Correct Identity/Data-Model Semantics	the module's treatment of refactor 0 – script → object model with correct identity/data-model semantics, used to make the module's main design claim concrete in design work, refactoring, and capstone evidence.
When OOP Is the Wrong Tool in Python	the module's treatment of when oop is the wrong tool in python, used to make the module's main design claim concrete in design work, refactoring, and capstone evidence.