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Metaprogramming with Python - Helion

Metaprogramming with Python
ebook
Autor: Sulekha AloorRavi
Tytuł oryginału: Metaprogramming with Python
ISBN: 9781838557584
stron: 402, Format: ebook
Data wydania: 2022-09-09
Księgarnia: Helion

Cena książki: 116,10 zł (poprzednio: 129,00 zł)
Oszczędzasz: 10% (-12,90 zł)

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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.

Dodaj do koszyka Metaprogramming with Python

 

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Dodaj do koszyka Metaprogramming with Python

Spis treści

Metaprogramming with Python. A programmer's guide to writing reusable code to build smarter applications eBook -- spis treści

  • 1. The Need For and Applications of Meta programming
  • 2. Refresher of OOP Concepts in Python
  • 3. Understanding Decorators and Their Applications
  • 4. Working with Metaclasses
  • 5. Understanding Introspection
  • 6. Implementing Reflection on Python Objects
  • 7. Understanding Generics and Typing
  • 8. Defining Templates for Algorithms
  • 9. Understanding Code through Abstract Syntax Tree
  • 10. Understanding Method Resolution Order of Inheritance
  • 11. Creating Dynamic Objects
  • 12. Applying GOF Design Patterns – Part 1
  • 13. Applying GOF Design Patterns – Part 2
  • 14. Generating Code from AST
  • 15. Implementing a Case Study
  • 16. Following Best Practices

Dodaj do koszyka Metaprogramming with Python

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