Dusty Phillips - Python: Master the Art of Design Patterns

, 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 Pythons idiosyncratic applications of these principles by learning how they are applied to a variety of Pythons 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.

, 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 Pythons 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 Faade patterns in detail. After this, well 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.

, 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.

All the examples in this course rely on the Python 3 interpreter. Make sure you are not using Python 2.7 or earlier. At the time of writing, Python 3.4 was the latest release of Python. Most examples will work on earlier revisions of Python 3, but you are encouraged to use the latest version to minimize frustration.

All of the examples should run on any operating system supported by Python. If this is not the case, please report it as a bug.

Some of the examples need a working Internet connection. Youll probably want to have one of these for extracurricular research and debugging anyway!

In addition, some of the examples in this course rely on third-party libraries that do not ship with Python. These are introduced within the course at the time they are used, so you do not need to install them in advance. However, for completeness, here is a list:

Python developers and software architects who care about software design principles and details of application development aspects in Python. Programmers of other languages who are interested in Python can also benefit from this course.