You're reading from Metaprogramming with Python A programmer's guide to writing reusable code to build smarter applications

Product type Paperback

Published in Sep 2022

Publisher Packt

ISBN-13 9781838554651

Length 402 pages

Edition 1st Edition

Languages

Python

Concepts

Programming Language

Author (1):

Sulekha Aloorravi

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Table of Contents (21) Chapters

Preface

1. Part 1: Fundamentals – Introduction to Object-Oriented Python and Metaprogramming

2. Chapter 1: The Need for and Applications of Metaprogramming FREE CHAPTER

3. Chapter 2: Refresher of OOP Concepts in Python

4. Part 2: Deep Dive – Building Blocks of Metaprogramming I

5. Chapter 3: Understanding Decorators and their Applications

6. Chapter 4: Working with Metaclasses

7. Chapter 5: Understanding Introspection

8. Chapter 6: Implementing Reflection on Python Objects

9. Chapter 7: Understanding Generics and Typing

10. Chapter 8: Defining Templates for Algorithms

11. Part 3: Deep Dive – Building Blocks of Metaprogramming II

12. Chapter 9: Understanding Code through Abstract Syntax Tree

13. Chapter 10: Understanding Method Resolution Order of Inheritance

14. Chapter 11: Creating Dynamic Objects

15. Chapter 12: Applying GOF Design Patterns – Part 1

16. Chapter 13: Applying GOF Design Patterns – Part 2

17. Chapter 14: Generating Code from AST

18. Chapter 15: Implementing a Case Study

19. Chapter 16: Following Best Practices

20. Other Books You May Enjoy

Chapter 15: Implementing a Case Study

In this chapter, we will work on implementing a case study by applying the metaprogramming concepts that we have learned so far. For this case study, we will be using the Automobile. (1987). UCI Machine Learning Repository dataset.

In this chapter, we will be looking at the following main topics:

Explaining the case study
Defining base classes
Developing a code generator library
Generating code
Designing an execution framework

By the end of this chapter, you should have an understanding of how to use the existing methods of the ast library in Python to enable your application to generate its own code.

The rest of the chapter is locked

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Authors (1)

Sulekha Aloorravi

Sulekha AloorRavi is an engineer and a data scientist with a wide technical breadth and deep understanding of many technologies and systems. Her background has led her to advanced Python based application development in the field of artificial intelligence. She enjoys solving real-world business problems with technology and working with data science and business intelligence teams to deliver real value. She has 15+ years of experience in Software Engineering and worked with major IT solution providers and International Banks. She graduated with an engineering degree in Information Technology and later completed a post-graduation program in Big Data and Machine Learning. She also enjoys teaching Artificial Intelligence and Machine Learning.

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