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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

Chapter 1: The Need for and Applications of Metaprogramming

Metaprogramming with Python is a practical guide to learning metaprogramming in Python.

In today’s programming world, Python is considered one of the easiest languages to learn and use to develop useful applications. Understanding the programming concepts and applying them is easier in Python compared to any other programming language. A Python program can be written simply by adding existing libraries and making use of their inbuilt methods. At the same time, the language also has many powerful features that can help in developing robust libraries and applications.

This book covers the need for one of the most advanced features in Python, called metaprogramming, along with insights into its practical applications. Understanding the concepts of metaprogramming helps in tapping into the advanced features of Python 3 and knowing where to apply them to make Python code more reusable.

Unlike the regular Python-based application development that follows object-oriented programming, metaprogramming covers certain advanced concepts of Python that deal with manipulating the programmable objects of Python, such as its classes, methods, functions, and variables. Throughout this book, we will look at applications and examples that help in understanding these concepts in a user-friendly manner.

In this chapter, we will provide an introduction to metaprogramming and the need to perform metaprogramming using Python 3. We will cover the following topics:

  • An overview of metaprogramming
  • Understanding why we need metaprogramming
  • Exploring the applications of metaprogramming

By the end of this chapter, you will have a high-level understanding of metaprogramming in Python 3, the need for using it, and know of a few practical examples where it can be applied.

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