Book Image

Python Unlocked

By : Arun Tigeraniya
Book Image

Python Unlocked

By: Arun Tigeraniya

Overview of this book

Python is a versatile programming language that can be used for a wide range of technical tasks—computation, statistics, data analysis, game development, and more. Though Python is easy to learn, it’s range of features means there are many aspects of it that even experienced Python developers don’t know about. Even if you’re confident with the basics, its logic and syntax, by digging deeper you can work much more effectively with Python – and get more from the language. Python Unlocked walks you through the most effective techniques and best practices for high performance Python programming - showing you how to make the most of the Python language. You’ll get to know objects and functions inside and out, and will learn how to use them to your advantage in your programming projects. You will also find out how to work with a range of design patterns including abstract factory, singleton, strategy pattern, all of which will help make programming with Python much more efficient. Finally, as the process of writing a program is never complete without testing it, you will learn to test threaded applications and run parallel tests. If you want the edge when it comes to Python, use this book to unlock the secrets of smarter Python programming.
Table of Contents (15 chapters)
Python Unlocked
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Index

Chapter 5. Elegance with Design Patterns

In this chapter, we are going to learn some design patterns that will help us in writing better software, which is reusable and tidy. But, the biggest help is that they let developers think on an architectural level. They are solutions to recurring problems. While learning them is very helpful for compiled languages such as C and C++ because they are actually solutions to problems, in Python, developers often "just write code" without needing any design pattern due to the dynamism in the language and conciseness of code. This is largely true for developers whose first language is Python. My advice is to learn design patterns to be able to process information and design at an architectural level rather than function and classes.

In this chapter, we will cover the following topics:

  • Observer pattern

  • Strategy pattern

  • Singleton pattern

  • Template pattern

  • Adaptor pattern

  • Facade pattern

  • Flyweight pattern

  • Command pattern

  • Abstract factory

  • Registry pattern

  • State pattern