Summary Professional developers know the many benefits of writing
application code that's 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, you'll learn to design
professional-level, clean, easily maintainable software at scale
using the incredibly popular programming language, Python. You'll
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.
It's 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. That's where this book is indispensable. About
the book Practices of the Python Pro teaches you to design and
write professional-quality software that's 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 WHAT'S NEXT? 11 ] Onward and upward
General
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