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Idioma: Inglés
Publicado por Packt Publishing (edition ), 2018
ISBN 10: 1788835832 ISBN 13: 9781788835831
Librería: BooksRun, Philadelphia, PA, Estados Unidos de America
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Publicado por Packt Publishing, Limited, 2018
ISBN 10: 1788835832 ISBN 13: 9781788835831
Librería: Books Puddle, New York, NY, Estados Unidos de America
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Añadir al carritoCondición: New. pp. 332.
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Publicado por Packt Publishing 2018-08-29, 2018
ISBN 10: 1788835832 ISBN 13: 9781788835831
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Añadir al carritoPaperback. Condición: New.
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Publicado por Packt Publishing, Limited, 2018
ISBN 10: 1788835832 ISBN 13: 9781788835831
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Añadir al carritoCondición: New. Print on Demand pp. 332.
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Publicado por Packt Publishing, Limited, 2018
ISBN 10: 1788835832 ISBN 13: 9781788835831
Librería: Biblios, Frankfurt am main, HESSE, Alemania
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Añadir al carritoCondición: New. PRINT ON DEMAND pp. 332.
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Publicado por Packt Publishing Limited, 2018
ISBN 10: 1788835832 ISBN 13: 9781788835831
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Añadir al carritoTaschenbuch. Condición: Neu. Clean Code in Python | Refactor your legacy code base | Mariano Anaya | Taschenbuch | Kartoniert / Broschiert | Englisch | 2018 | Packt Publishing | EAN 9781788835831 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
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Añadir al carritoTaschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Getting the most out of Python to improve your codebaseKey FeaturesSave maintenance costs by learning to fix your legacy codebaseLearn the principles and techniques of refactoringApply microservices to your legacy systems by implementing practical techniquesBook DescriptionPython is currently used in many different areas such as software construction, systems administration, and data processing.In all of these areas, experienced professionals can find examples of inefficiency, problems, and other perils, as a result of bad code. After reading this book, readers will understand these problems, and more importantly, how to correct them.The book begins by describing the basic elements of writing clean code and how it plays an important role in Python programming. You will learn about writing efficient and readable code using the Python standard library and best practices for software design. You will learn to implement the SOLID principles in Python and use decorators to improve your code. The book delves more deeply into object oriented programming in Python and shows you how to use objects with descriptors and generators. It will also show you the design principles of software testing and how to resolve software problems by implementing design patterns in your code. In the final chapter we break down a monolithic application to a microservice one, starting from the code as the basis for a solid platform.By the end of the book, you will be proficient in applying industry approved coding practices to design clean, sustainable and readable Python code.What you will learnSet up tools to effectively work in a development environmentExplore how the magic methods of Python can help us write better codeExamine the traits of Python to create advanced object-oriented designUnderstand removal of duplicated code using decorators and descriptorsEffectively refactor code with the help of unit testsLearn to implement the SOLID principles in Python.