This is not an introductory book. I am assuming that you have worked your way through at least Learning Python (by Mark Lutz & David Ascher; OReilly, 1999) or an equivalent text before coming to this book.
In addition, I assume you have more than just a grasp of the syntax of Python. You should have a good understanding of objects and what they’re about, including polymorphism.
On the other hand, by going through this book you’re going to learn a lot about object-oriented programming by seeing objects used in many different situations. If your knowledge of objects is rudimentary, it will get much stronger in the process of understanding the designs in this book.
| Título: | Thinking In Python |
| Autor: | Bruce Eckel |
| Fecha de publicación: | 2001 |
| Páginas: | 194 |
| Tamaño: | 2,2 MB |
| Idioma: | Inglés |
| Dirigido a: | Programmers |
| Requisitos: | Knowledge of Python programming |
| Licencia: | Gratuito |
Tabla de Contenidos
| Chapter 0: | Introduction |
| Chapter 1: | A quick course in Python for programmers |
| Chapter 2: | The pattern concept |
| Chapter 3: | Unit Testing |
| Chapter 4: | Building application frameworks |
| Chapter 5: | Fronting for an implementation |
| Chapter 6: | Decorators: dynamic type selection |
| Chapter 7: | Iterators: decoupling algorithms from containers |
| Chapter 8: | Factories: encapsulating object creation |
| Chapter 9: | Function objects |
| Chapter 10: | Changing the interface |
| Chapter 11: | Table-driven code: configuration flexibility |
| Chapter 12: | Callbacks |
| Chapter 13: | Multiple dispatching |
| Chapter 14: | Pattern refactoring |
| Chapter 15: | Projects |
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