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 Mastering Python Design Patterns
  • Table Of Contents Toc
Mastering Python Design Patterns

Mastering Python Design Patterns

By : Sakis Kasampalis
3.6 (5)
close
close
Mastering Python Design Patterns

Mastering Python Design Patterns

3.6 (5)
By: Sakis Kasampalis

Overview of this book

This book is for Python programmers with an intermediate background and an interest in design patterns implemented in idiomatic Python. Programmers of other languages who are interested in Python can also benefit from this book, but it would be better if they first read some introductory materials that explain how things are done in Python.
Table of Contents (18 chapters)
close
close
Lock Free Chapter
1
1. The Factory Pattern
17
Index

Design patterns

In software engineering, a design pattern is a recommended solution to a software design problem. Design patterns generally describe how to structure our code to solve common design problems using best practices. It is important to note that a design pattern is a high-level solution; it doesn't focus on implementation details such as algorithms and data structures [GOF95, page 13], [j.mp/srcmdp]. It is up to us, as software engineers, to decide which algorithm and data structure is optimal to use for the problem we are trying to solve.

Note

If you are wondering what is the meaning of the text within [], please jump to the Conventions section of this preface for a moment to see how references are formatted in this book.

The most important part of a design pattern is probably its name. The benefit of naming all patterns is that we have, on our hands, a common vocabulary to communicate [GOF95, page 13]. Thus, if you send some code for review and your peer reviewer gives feedback mentioning "I think that you can use a Strategy here instead of ...", even if you don't know or remember what a strategy is, you can immediately look it up.

As programming languages evolve, some design patterns such as Singleton become obsolete or even antipatterns [j.mp/jalfdp], others are built in the programming language (iterator), and new patterns are born (Borg/Monostate [j.mp/amdpp], [j.mp/wikidpc]).

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.
Mastering Python Design Patterns
notes
bookmark Notes and Bookmarks search Search in title playlist Add to playlist 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