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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

Avoiding metaprogramming where not required

Writing too much metaprogramming just because the feature is available in Python also makes the overall code very complex and hard to handle. The following aspects should be kept in mind while choosing to write a metaprogram for your application:

  • Identify your use case and determine the need for metaprogramming based on how frequently you need to modify the code.
  • Understand how frequently you need to manipulate your code outside of its core elements such as classes, methods, and variables.
  • Check whether your solution can be developed with object-oriented programming alone or whether it depends on elements such as metaclasses, decorators, and code generation.
  • Check whether your team has the relevant skills to maintain the metaprogramming features after development.
  • Check that you don’t have a dependency on earlier versions of Python that do not support some of the metaprogramming features.

These are some...

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Metaprogramming with Python
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