Book Image

Modular Programming with Python

By : Erik Westra
Book Image

Modular Programming with Python

By: Erik Westra

Overview of this book

Python has evolved over the years and has become the primary choice of developers in various fields. The purpose of this book is to help readers develop readable, reliable, and maintainable programs in Python. Starting with an introduction to the concept of modules and packages, this book shows how you can use these building blocks to organize a complex program into logical parts and make sure those parts are working correctly together. Using clearly written, real-world examples, this book demonstrates how you can use modular techniques to build better programs. A number of common modular programming patterns are covered, including divide-and-conquer, abstraction, encapsulation, wrappers and extensibility. You will also learn how to test your modules and packages, how to prepare your code for sharing with other people, and how to publish your modules and packages on GitHub and the Python Package Index so that other people can use them. Finally, you will learn how to use modular design techniques to be a more effective programmer.
Table of Contents (16 chapters)
Modular Programming with Python
About the Author
About the Reviewer


Encapsulation is another programming pattern that often applies to modules and packages. Using encapsulation, you have a thing—for example, a color, a customer, or a currency—that you need to store data about, but you hide the representation of this data from the rest of your system. Rather than make the thing available directly, you provide functions for setting, retrieving, and manipulating the thing's data.

To see how this works, let's look back at a module we wrote in the previous chapter. Our module lets the user define a chart and set the various pieces of information about it. Here is a copy of the code that we wrote for this module:

def new_chart():
    return {}

def set_title(chart, title):
    chart['title'] = title

def set_x_axis(chart, x_axis):
    chart['x_axis'] = x_axis

def set_y_axis(chart, minimum, maximum, labels):
    chart['y_min']    = minimum
    chart['y_max']    = maximum
    chart['y_labels'] = labels

def set_series_type(chart, series_type...