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Modularity

As explained in Get Programming: Learn to code with Python

Modularity is the organization of software into separate components with distinct responsibilities and interfaces.

Modularity divides a large program into smaller, more manageable tasks. Each module handles one job, can stand on its own, and can be tested independently. This makes larger problems easier to understand and reduces debugging time. section 20.2

A module works like a black box: identify its inputs, the task it performs, and its outputs without needing to inspect its implementation. Abstraction hides those implementation details so the module can be reused. section 20.2 section 21.0

Useful ways to recognize modular design include:

  • Separate repeated work into a function instead of rewriting the same steps for every input. section 21.0 section 29.8
  • Give each class a focused set of data attributes and methods, then use its objects consistently. section 34.6 section 34.0
  • Build on libraries that provide tested and debugged solutions rather than implementing every task from scratch. section 35.0

A modular movement handler

In a tag game, an event handler decides which player should move and in what direction. The Player class contains the movement logic, so that logic is written once and reused by every Player object. The handler stays readable because it delegates coordinate changes to move(). section 38.3

How Get Programming: Learn to code with Python covers it

How deep it goes
Explains modules through inputs, tasks, outputs, testing, functions, classes, and reuse, without detailing formal interface design.
Examples
Uses attendance, car assembly, arithmetic operations, document similarity, card games, and a two-player shape-moving game.
What it assumes
Assumes basic programming tasks and builds toward functions, parameters, return values, variable environments, and classes.
What you can do after
Build programs from reusable functions, classes, and libraries while testing smaller pieces independently.
How it connects
Connects modularity to abstraction, functions, classes, object-oriented programming, libraries, and debugging.

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This explainer was generated by Manning's knowledge graph from the text of Get Programming: Learn to code with Python. The section links point to the parts of the book it draws on.