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
Credits
About the Author
About the Reviewer
www.PacktPub.com
Preface
Index

Designing Charter


When you look at a chart like the one shown in the previous section, you can identify a number of standard elements that are used by all types of charts. These elements include a title, the x and y axes, and one or more data series:

To use the Charter package, a programmer would create a new chart and set the title, the x and y axes, and the data series to be displayed. The programmer would then ask Charter to generate the chart, saving the result as an image file on disk. By combining and configuring the various elements in this way, a programmer can create any chart that they may wish to generate.

Note

A more sophisticated charting library would allow for additional elements, such as a y axis on the right-hand side, axis labels, a legend, and multiple overlapping data series. For Charter, however, we want to keep the code simple, so we will ignore these more complicated elements.

Let's take a closer look at how a programmer might interact with the Charter library, and then...