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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

Explaining the case study

In this section, we will be looking at the details of the case study before we start implementing it. Let’s consider a car agency, ABC Car Agency, that focuses on sales of new and used cars from multiple brands. This agency would like to build an application that produces customized catalogs for each car displaying the various specifications and features of the car.

We will look at the details available to develop and build the application by applying the concepts that we have learned throughout this book. There are 205 different cars that need to be cataloged and the data used to build this case study is taken from the following dataset: Automobile. (1987). UCI Machine Learning Repository.

There are many ways to develop an application that can solve this problem. We are going to look at how to develop a reusable application that uses metaprogramming.

A high-level view of the automobile data is as follows:

Figure 15.1...

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Metaprogramming with Python
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