Book Image

Python: Master the Art of Design Patterns

Book Image

Python: Master the Art of Design Patterns

Overview of this book

Python is an object-oriented scripting language that is used in everything from data science to web development. Known for its simplicity, Python increases productivity and minimizes development time. Through applying essential software engineering design patterns to Python, Python code becomes even more efficient and reusable from project to project. This learning path takes you through every traditional and advanced design pattern best applied to Python code, building your skills in writing exceptional Python. Divided into three distinct modules, you’ll go from foundational to advanced concepts by following a series of practical tutorials. Start with the bedrock of Python programming – the object-oriented paradigm. Rethink the way you work with Python as you work through the Python data structures and object-oriented techniques essential to modern Python programming. Build your confidence as you learn Python syntax, and how to use OOP principles with Python tools such as Django and Kivy. In the second module, run through the most common and most useful design patterns from a Python perspective. Progress through Singleton patterns, Factory patterns, Façade patterns and more all with detailed hands-on guidance. Enhance your professional abilities in in software architecture, design, and development. In the final module, run through the more complex and less common design patterns, discovering how to apply them to Python coding with the help of real-world examples. Get to grips with the best practices of writing Python, as well as creating systems architecture and troubleshooting issues. This Learning Path combines some of the best that Packt has to offer in one complete, curated package. It includes content from the following Packt products: ? Python 3 Object-Oriented Programming - Second Edition by Dusty Phillips ? Learning Python Design Patterns - Second Edition by Chetan Giridhar ? Mastering Python Design Patterns by Sakis Kasampalis

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Python: Master the Art of Design Patterns
Sep, 2016 | 12 hours 55 minutes
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Table of Contents (6 chapters)
Preface
Preface
What this learning path covers
What you need for this learning path
Who this learning path is for
Reader feedback
Customer support
Free Chapter
1
1. Module 1
1. Module 1
1. Object-oriented Design
2. Objects in Python
3. When Objects Are Alike
4. Expecting the Unexpected
5. When to Use Object-oriented Programming
6. Python Data Structures
7. Python Object-oriented Shortcuts
8. Strings and Serialization
9. The Iterator Pattern
10. Python Design Patterns I
11. Python Design Patterns II
12. Testing Object-oriented Programs
13. Concurrency
2
2. Module 2
2. Module 2
1. Introduction to Design Patterns
2. The Singleton Design Pattern
3. The Factory Pattern – Building Factories to Create Objects
4. The Façade Pattern – Being Adaptive with Façade
5. The Proxy Pattern – Controlling Object Access
6. The Observer Pattern – Keeping Objects in the Know
7. The Command Pattern – Encapsulating Invocation
8. The Template Method Pattern – Encapsulating Algorithm
9. Model-View-Controller – Compound Patterns
10. The State Design Pattern
11. AntiPatterns
3
3. Module 3
3. Module 3
1. The Factory Pattern
2. The Builder Pattern
3. The Prototype Pattern
4. The Adapter Pattern
5. The Decorator Pattern
6. The Facade Pattern
7. The Flyweight Pattern
8. The Model-View-Controller Pattern
9. The Proxy Pattern
10. The Chain of Responsibility Pattern
11. The Command Pattern
12. The Interpreter Pattern
13. The Observer Pattern
14. The State Pattern
15. The Strategy Pattern
16. The Template Pattern
4
A. Bibliography
A. Bibliography
5
Index
Index

What this learning path covers

Module 1, Python 3 Object-oriented Programming - Second Edition, This module is loosely divided into four major parts. In the first four chapters, we will dive into the formal principles of object-oriented programming and how Python leverages them. In chapters 5 through 8, we will cover some of Python’s idiosyncratic applications of these principles by learning how they are applied to a variety of Python’s built-in functions. Chapters 9 through 11 cover design patterns, and the final two chapters discuss two bonus topics related to Python programming that may be of interest.

Module 2, Learning Python Design Patterns - Second Edition, Building on the success of the previous edition, Learning Python Design Patterns, Second Edition will help you implement real-world scenarios with Python’s latest release, Python v3.5. We start by introducing design patterns from the Python perspective. As you progress through the module, you will learn about Singleton patterns, Factory patterns, and Façade patterns in detail. After this, we’ll look at how to control object access with proxy patterns. It also covers observer patterns, command patterns, and compound patterns. By the end of the module, you will have enhanced your professional abilities in software architecture, design, and development.

Module 3, Mastering Python Design Patterns, This module focuses on design patterns in Python. Python is different than most common programming languages used in popular design patterns books (usually Java [FFBS04] or C++ [GOF95]). It supports duck-typing, functions are first-class citizens, and some patterns (for instance, iterator and decorator) are built-in features. The intent of this module is to demonstrate the most fundamental design patterns, not all patterns that have been documented so far [j.mp/wikidpc]. The code examples focus on using idiomatic Python when applicable [j.mp/idiompyt]. If you are not familiar with the Zen of Python, it is a good idea to open the Python REPL right now and execute import this. The Zen of Python is both amusing and meaningful.

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