Book Image

The Python Apprentice

By : Robert Smallshire, Austin Bingham
Book Image

The Python Apprentice

By: Robert Smallshire, Austin Bingham

Overview of this book

Experienced programmers want to know how to enhance their craft and we want to help them start as apprentices with Python. We know that before mastering Python you need to learn the culture and the tools to become a productive member of any Python project. Our goal with this book is to give you a practical and thorough introduction to Python programming, providing you with the insight and technical craftsmanship you need to be a productive member of any Python project. Python is a big language, and it’s not our intention with this book to cover everything there is to know. We just want to make sure that you, as the developer, know the tools, basic idioms and of course the ins and outs of the language, the standard library and other modules to be able to jump into most projects.
Table of Contents (21 chapters)
Title Page
Credits
About the Authors
www.PacktPub.com
Customer Feedback
Preface
12
Afterword – Just the Beginning

Chapter 3. Modularity

Modularity is an important property for anything but trivial software systems as it gives us the power to make self-contained, reusable pieces which can be combined in new ways to solve different problems. In Python, as with most programming languages, the most fine-grained modularization facility is the definition of reusable functions. But Python also gives us several other powerful modularization mechanisms.

Collections of related functions are themselves grouped together a form modularity called modules. Modules are source code files that can be referenced by other modules, allowing the functions defined in one module to be re-used in another. So long as you take care to avoid any circular dependencies, modules are a simple and flexible way to organize programs.

In previous chapters we've seen that we can import modules into the REPL. We'll also show you how modules can be executed directly as programs or scripts. As part of this we'll investigate the Python execution...