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03006nam a22003975i 4500 |
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978-1-4842-2680-3 |
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171018s2017 xxu| s |||| 0|eng d |
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|a 9781484226803
|9 978-1-4842-2680-3
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|a 10.1007/978-1-4842-2680-3
|2 doi
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|d GrThAP
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|a Badenhorst, Wessel.
|e author.
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|a Practical Python Design Patterns
|h [electronic resource] :
|b Pythonic Solutions to Common Problems /
|c by Wessel Badenhorst.
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|a Berkeley, CA :
|b Apress :
|b Imprint: Apress,
|c 2017.
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|a XVII, 350 p. 1 illus. in color.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a text file
|b PDF
|2 rda
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|a 1: Before We Begin -- 2: Singleton Pattern -- 3: Prototype Pattern -- 4: Factory Pattern -- 5: Builder Pattern -- 6: Adapter Pattern -- 7: Decorator Pattern -- 8: Facade Pattern -- 9: Proxy Pattern -- 10: Chain of Responsibility Pattern -- 11: Command Pattern -- 12: Interpreter Pattern -- 13: Iterator Pattern -- 14: Observer Pattern -- 15: State Pattern -- 16: Strategy Pattern -- 17: Template Method Pattern -- 18: Visitor Pattern -- 19: Model View Controller Pattern -- 20: Publish-Subscribe Pattern -- Appendix A: Patterns Quick Reference.
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|a Become a better, more productive programmer through a series of projects that will help you deeply understand and master each of the design patterns covered. In this book you will learn to write elegant "Pythonic" code to solve common programming problems. You will also experience design thinking, by identifying design patterns that would be helpful given a specific problem or situation. Python is eating the world. In recent years it has become so much more than a mere object-oriented, scripting language. Design patterns help you think of and solve problems in chunks. They help you to stand on the shoulders of the giants who have come before, instead of having to reinvent the wheel. What You Will Learn Craft cleaner code Increase your effectiveness as a programmer Write more Pythonic code Solve bigger problems Discover optimal solutions to common problems, done in a way that is uniquely Pythonic Who This Book Is For Programmers who are comfortable with Python. It is also guide for people who have mastered other programming languages and who want to make the transition to Python.
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|a Computer science.
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|a Computer programming.
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|a Software engineering.
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|a Computer Science.
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|a Python.
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|a Programming Techniques.
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|a Software Engineering.
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|a SpringerLink (Online service)
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|t Springer eBooks
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|i Printed edition:
|z 9781484226797
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|u http://dx.doi.org/10.1007/978-1-4842-2680-3
|z Full Text via HEAL-Link
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|a ZDB-2-CWD
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|a Professional and Applied Computing (Springer-12059)
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