Learning Python Design Patterns (2nd Edition) by Gennadiy Zlobin

By Gennadiy Zlobin

Key Features
Understand the structural, creational, and behavioral Python layout patterns
Get to grasp the context and alertness of layout styles to resolve real-world difficulties in software program structure, layout, and alertness development
Get functional publicity via pattern implementations in Python v3.5 for the layout styles featured
Book Description
With the expanding specialize in optimized software program structure and layout it will be important that software program architects take into consideration optimizations in item production, code constitution, and interplay among items on the structure or layout point. This makes certain that the price of software program upkeep is low and code will be simply reused or is adaptable to alter. the foremost to this can be reusability and coffee upkeep in layout patterns.

Building at the good fortune of the former version, studying Python layout styles, moment version can help you enforce real-world situations with Python's most modern unencumber, Python v3.5.

We begin by way of introducing layout styles from the Python viewpoint. As you move in the course of the booklet, you'll find out about Singleton styles, manufacturing unit styles, and Facade styles intimately. After this, we'll examine the way to keep an eye on item entry with proxy styles. It additionally covers observer styles, command styles, and compound patterns.

By the tip of the booklet, you've stronger your specialist talents in software program structure, layout, and development.

What you are going to learn
Enhance your talents to create larger software program architecture
Understand confirmed strategies to often happening layout issues
Explore the layout rules that shape the root of software program layout, corresponding to unfastened coupling, the Hollywood precept and the Open shut precept between others
Delve into the object-oriented programming techniques and learn how they're utilized in software program applications
Develop an realizing of Creational layout styles and the various item construction equipment that assist you clear up concerns in software program development
Use Structural layout styles and learn the way gadgets and sessions engage to construct greater applications
Focus at the interplay among gadgets with the command and observer patterns
Improve the productiveness and code base of your software utilizing Python layout patterns
About the Author
Chetan Giridhar is a know-how chief, open resource fanatic, and Python developer. He has written a number of articles on know-how and improvement practices in magazines reminiscent of LinuxForYou and Agile checklist, and has released technical papers within the Python Papers magazine. He has been a speaker at PyCon meetings corresponding to PyCon India, Asia-Pacific, and New Zealand and loves engaged on real-time communications, dispensed platforms, and cloud purposes. Chetan has been a reviewer at Packt Publishing and has contributed to books on IPython Visualizations and center Python.

Table of Contents
Introduction to layout Patterns
The Singleton layout Pattern
The manufacturing facility trend – construction Factories to Create Objects
The Facade development – Being Adaptive with Facade
The Proxy trend – Controlling item Access
The Observer trend – maintaining items within the Know
The Command trend – Encapsulating Invocation
The Template strategy trend – Encapsulating Algorithm
Model-View-Controller – Compound Patterns
The nation layout Pattern

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Additional resources for Learning Python Design Patterns (2nd Edition)

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If a girl named Alice was the same height as a boy named Bob, you wouldn't say that Alice is taller than Bob or that Alice is shorter than Bob. Both of those statements would be false. = 'Hello' Notice the difference between the assignment operator (=) and the "equal to" comparison operator (==). The equal (=) sign is used to assign a value to a variable, and the equal to (==) sign is used in expressions to see whether two values are equal. It's easy to accidentally use one when you meant to use the other, so be careful of what you type in.

50 is not less than 10, so 50 < 10 is False. 10 is less than 11, so 10 < 11 is True. But what about 10 < 10? Why does it evaluate to False? It is False because the number 10 is not smaller than the number 10. They are exactly the same size. If a girl named Alice was the same height as a boy named Bob, you wouldn't say that Alice is taller than Bob or that Alice is shorter than Bob. Both of those statements would be false. = 'Hello' Notice the difference between the assignment operator (=) and the "equal to" comparison operator (==).

It also helps to capitalize variable names if they include more than one word. If you store a string of what you had for breakfast in a variable, the variable name whatIHadForBreakfastThisMorning is much easier to read than whatihadforbreakfastthismorning. This is a convention (that is, an optional but standard way of doing things) in Python programming. (Although even better would be something simple, like todaysBreakfast. Capitalizing the first letter of each word in variable names makes the program more readable.

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