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Metaprogramming with Python
Metaprogramming with Python

Metaprogramming with Python: A programmer's guide to writing reusable code to build smarter applications

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Metaprogramming with Python

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Key benefits

  • Learn applied metaprogramming through a simple step-by-step approach
  • Work with easily understandable examples and explanations that take you deep into the theory of metaprogramming
  • Get practical experience in writing reusable code with real-world examples

Description

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.

Who is this book for?

If you are an intermediate-level Python programmer looking to enhance your coding skills by developing reusable and advanced frameworks, then this book is for you. Basic knowledge of Python programming will help you get the most out of this learning journey.

What you will learn

  • Understand the programming paradigm of metaprogramming and its need
  • Revisit the fundamentals of object-oriented programming
  • Define decorators and work with metaclasses
  • Employ introspection and reflection on your code
  • Apply generics, typing, and templates to enhance your code
  • Get to grips with the structure of your code through abstract syntax trees and the behavior through method resolution order
  • Create dynamic objects and generate dynamic code
  • Understand various design patterns and best practices

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Sep 09, 2022
Length: 402 pages
Edition : 1st
Language : English
ISBN-13 : 9781838557584
Category :

What do you get with eBook?

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Product Details

Publication date : Sep 09, 2022
Length: 402 pages
Edition : 1st
Language : English
ISBN-13 : 9781838557584
Category :

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Frequently bought together


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Table of Contents

20 Chapters
Part 1: Fundamentals – Introduction to Object-Oriented Python and Metaprogramming Chevron down icon Chevron up icon
Chapter 1: The Need for and Applications of Metaprogramming Chevron down icon Chevron up icon
Chapter 2: Refresher of OOP Concepts in Python Chevron down icon Chevron up icon
Part 2: Deep Dive – Building Blocks of Metaprogramming I Chevron down icon Chevron up icon
Chapter 3: Understanding Decorators and their Applications Chevron down icon Chevron up icon
Chapter 4: Working with Metaclasses Chevron down icon Chevron up icon
Chapter 5: Understanding Introspection Chevron down icon Chevron up icon
Chapter 6: Implementing Reflection on Python Objects Chevron down icon Chevron up icon
Chapter 7: Understanding Generics and Typing Chevron down icon Chevron up icon
Chapter 8: Defining Templates for Algorithms Chevron down icon Chevron up icon
Part 3: Deep Dive – Building Blocks of Metaprogramming II Chevron down icon Chevron up icon
Chapter 9: Understanding Code through Abstract Syntax Tree Chevron down icon Chevron up icon
Chapter 10: Understanding Method Resolution Order of Inheritance Chevron down icon Chevron up icon
Chapter 11: Creating Dynamic Objects Chevron down icon Chevron up icon
Chapter 12: Applying GOF Design Patterns – Part 1 Chevron down icon Chevron up icon
Chapter 13: Applying GOF Design Patterns – Part 2 Chevron down icon Chevron up icon
Chapter 14: Generating Code from AST Chevron down icon Chevron up icon
Chapter 15: Implementing a Case Study Chevron down icon Chevron up icon
Chapter 16: Following Best Practices Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon

Customer reviews

Top Reviews
Rating distribution
Full star icon Full star icon Full star icon Full star icon Half star icon 4.2
(6 Ratings)
5 star 66.7%
4 star 16.7%
3 star 0%
2 star 0%
1 star 16.7%
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POE Dec 13, 2022
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Metaprogramming is nothing new. It is a programming paradigm or technique we use to create programs that can ingest other programs, treating them like data. This can make for a robust and programming environment. This book covers object-oriented programming (OOP), metaclasses, and provides multiple examples of how to use metaprogramming with Python. Knowledge of the Python programming language is assumed and, familiarity with OOP is helpful. This book scratches the surface of metaprogramming with just the right depth of coverage.
Amazon Verified review Amazon
Krishnan Raghavan Dec 05, 2022
Full star icon Full star icon Full star icon Full star icon Full star icon 5
This book is for people who want to take their Python programming skills to the next level. The author makes it abundantly clear that knowledge of Python is absolutely necessary to derive maximum benefit from this book. Writing reusable code makes your code base easily maintainable and this is one of the objectives of this book.This book is divided into 3 parts with the first part covering the basics of Metaprogramming and revisiting the OOPS concepts. This section of the book introduces you to why you need metaprogramming and what are its practical applications followed by an overview of OOP concepts along with examples.The second part is a deep dive into the basic building blocks of Metaprogramming in greater detail. Concepts that are covered in this part include how to define decorators and how to work with metaclasses. The next two chapters cover topics on how to employ introspection and reflection on your code. The last two chapters in this section teach the reader about Generics, typing and templates to enhance your code.The third part is a continuation of the concepts that were covered in the previous 6 chapters and build on that knowledge. It covers more advanced topics in the area of metaprogramming. The reader will get a deeper understanding of the structure of the code through abstract syntax trees and the behaviour through method resolution order. The next chapter will help the reader understand the concept of dynamic objects in Python and the process that can be followed to create any dynamic Python objects. The next two chapters cover the concept of design patterns in Python 3. Chapter 15 consolidates the knowledge gained from all the previous chapters by implementing a case study wherein all the metaprogramming concepts learned so far is implemented. The last chapter is about following the best practices and applying the same to Metaprogramming.Each chapter has a detailed code walk-through for all the examples that will help the reader understand the concept being covered in better detail. It would have been better if, at the end of each chapter, there were a few questions based on the concepts covered in the chapter. This would have really helped the reader consolidate the understanding better.I found the book to be very well written as it takes the user on a journey about Metaprogramming in Python. Kudos to Sulekha Aloorravi for writing such a wonderful book.
Amazon Verified review Amazon
Amazon Customer Jan 14, 2023
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Great book written with clear explanation of python Meta programming concepts. The case studies used and the way concepts are covered with perfect code snippets makes the book special.
Amazon Verified review Amazon
Dileep Vuppaladhadiam Jan 14, 2023
Full star icon Full star icon Full star icon Full star icon Full star icon 5
A must read for advanced python programmers. Written in a manner where anybody can adopt & adapt, with or without programming knowledge. Very carefully and logically illustrated Chapter by Chapter. Very well presented and organized Hands-on exercises to get a feel of Meta-programming. Was looking for something so comprehensive for a very long time. This knowledge can be extrapolated to other programming languages as well. Thanks to the author for sharing this expert approach. Looking forward to see more such contributions from the author.
Amazon Verified review Amazon
E. Leonard Nov 26, 2022
Full star icon Full star icon Full star icon Full star icon Empty star icon 4
I read the digital copy of the book. As an experienced programmer I skimmed the basics of OOP sections in the early segment of the book because I already know OOP to a reasonabe depth, that said working through the book improved my upfront thinking about generators, decorators and overall class interaction design.I don’t typically create meta classes or metaprogramming much on a day to day basis, I am not a framework author. As such the book challenged me to think in alternate ways, gave me more than a handful of aha moments and made me want to go back and rewrite code I was previously happy with. An interesting read but definitely not for beginners. I enjoyed this title and would give it four stars. Mastering the skills here will up your game quite a bit, add elegance to your designs and make you a better programmer in the end. Terse stuff in places but enjoyable.
Amazon Verified review Amazon
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