Practices of the Python Pro 1st Edition [NulledPremium]

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Practices of the Python Pro 1st Edition [NulledPremium] (Size: 13.5 MB)
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  Practices of the Python Pro by Dane Hillard -Manning Publications (2020).epub 4.8 MB
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Book details
Paperback: 305 pages
Size: 13.47 MB
Format: epub,mobi,pdf
Publisher: Manning Publications; 1 edition (February 11, 2020)
Language: English
ISBN-10: 1617296082
ISBN-13: 978-1617296086

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.

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

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