Sign In Start Free Trial
Account

Add to playlist

Create a Playlist

Modal Close icon
You need to login to use this feature.
  • Book Overview & Buying Modular Programming with Python
  • Table Of Contents Toc
Modular Programming with Python

Modular Programming with Python

By : Westra
4 (3)
close
close
Modular Programming with Python

Modular Programming with Python

4 (3)
By: 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 (11 chapters)
close
close
10
Index

Packages within packages


Just like you can have directories within directories, you can have packages within other packages. For example, imagine that our my_package directory contained another directory called my_sub_package, which itself had an __init__.py file:

As you might expect, you import the modules within a sub-package by prepending the names of the packages that contain it:

from my_package.my_sub_package import my_module
my_module.do_something()

There is no limit to how deeply you can nest packages, though in practice it becomes a bit unwieldy if you have too many levels of packages-within-packages. More interestingly, the various packages and sub-packages form a tree-like structure which allows you to organize even the most complex program. For example, a sophisticated business system might be arranged like this:

As you can see, this is called a tree-like structure because the packages-within-packages look like the spreading branches of a tree. A tree-like structure like this allows...

CONTINUE READING
83
Tech Concepts
36
Programming languages
73
Tech Tools
Icon Unlimited access to the largest independent learning library in tech of over 8,000 expert-authored tech books and videos.
Icon Innovative learning tools, including AI book assistants, code context explainers, and text-to-speech.
Icon 50+ new titles added per month and exclusive early access to books as they are being written.
Modular Programming with Python
notes
bookmark Notes and Bookmarks search Search in title playlist Add to playlist download Download options font-size Font size

Change the font size

margin-width Margin width

Change margin width

day-mode Day/Sepia/Night Modes

Change background colour

Close icon Search
Country selected

Close icon Your notes and bookmarks

Confirmation

Modal Close icon
claim successful

Buy this book with your credits?

Modal Close icon
Are you sure you want to buy this book with one of your credits?
Close
YES, BUY

Submit Your Feedback

Modal Close icon
Modal Close icon
Modal Close icon