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Metaprogramming with Python

Metaprogramming with Python

By : Sulekha Aloorravi
4.2 (6)
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Metaprogramming with Python

Metaprogramming with Python

4.2 (6)
By: Sulekha Aloorravi

Overview of this book

Effective and reusable code makes your application development process seamless and easily maintainable. With Python, you will have access to advanced metaprogramming features that you can use to build high-performing applications. The book starts by introducing you to the need and applications of metaprogramming, before navigating the fundamentals of object-oriented programming. Next, you will learn about simple decorators, work with metaclasses, and later focus on introspection and reflection. You’ll also delve into generics and typing before defining templates for algorithms. As you progress, you will understand your code using abstract syntax trees and explore method resolution order. This Python book also shows you how to create your own dynamic objects before structuring the objects through design patterns. Finally, you will learn simple code-generation techniques along with discovering best practices and eventually building your own applications. By the end of this learning journey, you’ll have acquired the skills and confidence you need to design and build reusable high-performing applications that can solve real-world problems.
Table of Contents (21 chapters)
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1
Part 1: Fundamentals – Introduction to Object-Oriented Python and Metaprogramming
4
Part 2: Deep Dive – Building Blocks of Metaprogramming I
11
Part 3: Deep Dive – Building Blocks of Metaprogramming II

Identifying the common functionalities

In this section, let’s look at a graphical representation that shows the list of functions to be performed at each counter and the common functionalities between all four of them as follows. The common functionalities are highlighted in bold font in the following figure:

Figure 8.5 – Common operations performed across each counter

From Figure 8.5, all the functions highlighted in the bold font are common across all four counters. The review_items function is common across the less than 10 items counter, greater than 10 items counter, and electronics counter. The count_items function is common across the less than 10 items counter and greater than 10 items counter. The apply_coupon function is common across the greater than 10 items counter and the electronics counter. Since there are common functions or operations performed across all of the counters, we can look at creating a common way of designing them...

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Metaprogramming with Python
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