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Clean Code in Python Develop Maintainable and Efficient Code, 2nd Edition.
References -- Chapter 3: General Traits of Good Code -- Design by contract -- Preconditions -- Postconditions -- Pythonic contracts -- Design by contract - conclusions -- Defensive programming -- Error handling -- Value substitution -- Exception handling -- Using assertions in Python -- Separation o...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Birmingham :
Packt Publishing, Limited,
2021.
|
| Edición: | 2nd ed. |
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 100 | 1 | |a Anaya, Mariano. | |
| 245 | 1 | 0 | |a Clean Code in Python |h [electronic resource] : |b Develop Maintainable and Efficient Code, 2nd Edition. |
| 250 | |a 2nd ed. | ||
| 260 | |a Birmingham : |b Packt Publishing, Limited, |c 2021. | ||
| 300 | |a 1 online resource (423 p.) | ||
| 336 | |a text |b txt |2 rdacontent | ||
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| 500 | |a Description based upon print version of record. | ||
| 505 | 0 | |a Cover -- Copyright -- Packt Page -- Contributors -- Table of Contents -- Preface -- Chapter 1: Introduction, Code Formatting, and Tools -- Introduction -- The meaning of clean code -- The importance of having clean code -- Some exceptions -- Code formatting -- Adhering to a coding style guide on your project -- Documentation -- Code comments -- Docstrings -- Annotations -- Do annotations replace docstrings? -- Tooling -- Checking type consistency -- Generic validations in code -- Automatic formatting -- Setup for automatic checks -- Summary -- References -- Chapter 2: Pythonic Code | |
| 505 | 8 | |a Indexes and slices -- Creating your own sequences -- Context managers -- Implementing context managers -- Comprehensions and assignment expressions -- Properties, attributes, and different types of methods for objects -- Underscores in Python -- Properties -- Creating classes with a more compact syntax -- Iterable objects -- Creating iterable objects -- Creating sequences -- Container objects -- Dynamic attributes for objects -- Callable objects -- Summary of magic methods -- Caveats in Python -- Mutable default arguments -- Extending built-in types -- A brief introduction to asynchronous code | |
| 520 | |a References -- Chapter 3: General Traits of Good Code -- Design by contract -- Preconditions -- Postconditions -- Pythonic contracts -- Design by contract - conclusions -- Defensive programming -- Error handling -- Value substitution -- Exception handling -- Using assertions in Python -- Separation of concerns -- Cohesion and coupling -- Acronyms to live by -- DRY/OAOO -- YAGNI -- KIS -- EAFP/LBYL -- Inheritance in Python -- When inheritance is a good decision -- Anti-patterns for inheritance -- Multiple inheritance in Python -- Method Resolution Order (MRO) -- Mixins. | ||
| 505 | 8 | |a Arguments in functions and methods -- How function arguments work in Python -- How arguments are copied to functions -- Variable number of arguments -- Positional-only parameters -- Keyword-only arguments -- The number of arguments in functions -- Function arguments and coupling -- Compact function signatures that take too many arguments -- Final remarks on good practices for software design -- Orthogonality in software -- Structuring the code -- Summary -- References -- Chapter 4: The SOLID Principles -- The single responsibility principle -- A class with too many responsibilities | |
| 505 | 8 | |a Distributing responsibilities -- The open/closed principle -- Example of maintainability perils for not following the OCP -- Refactoring the events system for extensibility -- Extending the events system -- Final thoughts about the OCP -- Liskov's substitution principle -- Detecting LSP issues with tools -- Using mypy to detect incorrect method signatures -- Detecting incompatible signatures with pylint -- More subtle cases of LSP violations -- Remarks on the LSP -- Interface segregation -- An interface that provides too much -- The smaller the interface, the better | |
| 500 | |a How small should an interface be? | ||
| 520 | |a This Python coding book will help you understand the problems that arise due to inefficient code, demonstrating to you how to correct them. | ||
| 504 | |a References -- Chapter 3: General Traits of Good Code -- Design by contract -- Preconditions -- Postconditions -- Pythonic contracts -- Design by contract - conclusions -- Defensive programming -- Error handling -- Value substitution -- Exception handling -- Using assertions in Python -- Separation of concerns -- Cohesion and coupling -- Acronyms to live by -- DRY/OAOO -- YAGNI -- KIS -- EAFP/LBYL -- Inheritance in Python -- When inheritance is a good decision -- Anti-patterns for inheritance -- Multiple inheritance in Python -- Method Resolution Order (MRO) -- Mixins. | ||
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