num_pages: 250
description: Summary Professional 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 technology Professional-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 book Practices 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 inside Organizing large Python projects Achieving the right levels of abstraction Writing clean reusable code Inheritance and composition Considerations for testing and performance About the reader For readers familiar with the basics of Python or another OO language. About the author Dane Hillard has spent the majority of his development career using Python to build web applications. Table of Contents: PART 1 WHY IT ALL MATTERS 1  The bigger picture PART 2 FOUNDATIONS OF DESIGN 2  Separation of concerns 3  Abstraction and encapsulation 4  Designing for high performance 5  Testing your software PART 3 NAILING DOWN LARGE SYSTEMS 6  Separation of concerns in practice 7  Extensibility and flexibility 8  The rules (and exceptions) of inheritance 9  Keeping things lightweight 10  Achieving loose coupling PART 4 WHATS NEXT? 11  Onward and upward
language: English
title: Practices of the Python Pro
publisher: Manning