Practices of the Python Pro

ISBN: 1617296082

Author: Hillard, Dane

Condition: New

SummaryProfessional developers know the many benefits of writing application code thats clean, well-organized, and easy to maintain. By learning and following established patterns and best practices, you can take your code and your career to a new level.With Practices of the Python Pro, youll learn to design professional-level, clean, easily maintainable software at scale using the incredibly popular programming language, Python. Youll find easy-to-grok examples that use pseudocode and Python to introduce software development best practices, along with dozens of instantly useful techniques that will help you code like a pro.Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.About the technologyProfessional-quality code does more than just run without bugs. Its clean, readable, and easy to maintain. To step up from a capable Python coder to a professional developer, you need to learn industry standards for coding style, application design, and development process. Thats where this book is indispensable.About the bookPractices of the Python Pro teaches you to design and write professional-quality software thats understandable, maintainable, and extensible. Dane Hillard is a Python pro who has helped many dozens of developers make this step, and he knows what it takes. With helpful examples and exercises, he teaches you when, why, and how to modularize your code, how to improve quality by reducing complexity, and much more. Embrace these core principles, and your code will become easier for you and others to read, maintain, and reuse.What's insideOrganizing large Python projects Achieving the right levels of abstraction Writing clean, reusable code Inheritance and composition Considerations for testing and performanceAbout the readerFor readers familiar with the basics of Python, or another OO language.About the authorDane Hillard has spent the majority of his development career using Python to build web applications.Table of Contents:PART 1 WHY IT ALL MATTERS1 The bigger picturePART 2 FOUNDATIONS OF DESIGN2 Separation of concerns3 Abstraction and encapsulation4 Designing for high performance5 Testing your softwarePART 3 NAILING DOWN LARGE SYSTEMS6 Separation of concerns in practice7 Extensibility and flexibility8 The rules (and exceptions) of inheritance9 Keeping things lightweight10 Achieving loose couplingPART 4 WHATS NEXT?11 Onward and upward