Reader small image

You're reading from  Advanced Python Programming - Second Edition

Product typeBook
Published inMar 2022
PublisherPackt
ISBN-139781801814010
Edition2nd Edition
Right arrow
Author (1)
Quan Nguyen
Quan Nguyen
author image
Quan Nguyen

Quan Nguyen is a Python programmer and machine learning enthusiast. He is interested in solving decision-making problems under uncertainty. Quan has authored several books on Python programming and scientific computing. He is currently pursuing a Ph.D. degree in computer science at Washington University in St. Louis, researching Bayesian methods in machine learning.
Read more about Quan Nguyen

Right arrow

Understanding the builder pattern

Imagine that we want to create an object that is composed of multiple parts and the composition needs to be done step by step. The object is not complete unless all its parts are fully created. That's where the builder-design pattern can help us. The builder pattern separates the construction of a complex object from its representation. By keeping the construction separate from the representation, the same construction can be used to create several different representations (j.mp/builderpat).

A practical example can help us understand what the purpose of the builder pattern is. Suppose that we want to create a HyperText Markup Language (HTML) page generator. The basic structure (construction part) of an HTML page is always the same: it begins with <html> and finishes with </html>; inside the HTML section are the <head> and </head> elements; inside the head section are the <title> and </title> elements; and...

lock icon
The rest of the page is locked
Previous PageNext Page
You have been reading a chapter from
Advanced Python Programming - Second Edition
Published in: Mar 2022Publisher: PacktISBN-13: 9781801814010

Author (1)

author image
Quan Nguyen

Quan Nguyen is a Python programmer and machine learning enthusiast. He is interested in solving decision-making problems under uncertainty. Quan has authored several books on Python programming and scientific computing. He is currently pursuing a Ph.D. degree in computer science at Washington University in St. Louis, researching Bayesian methods in machine learning.
Read more about Quan Nguyen