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Software Design for Python Programmers: Principles and Patterns, (Paperback)
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Great software starts with thoughtful design.
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- Get a free eBook (PDF or ePub) from Manning as well as access to the online liveBook format (and its AI assistant that will answer your questions in any language) when you purchase the print book. This book shows you how to level up from writing Python code to designing Python applications. Following intuitive before and after examples of improved code, you'll learn to plan and execute Python applications effectively and avoid bugs associated with unmanaged state, poorly-formed classes, inflexible functions, and more. Great applications take advantage of established design principles and patterns that maximize performance, maintainability, and reliability. This book helps you master the Pythonic approach to architectural principles, such as encapsulation, abstraction, method variation, and more. The examples are in Python, but the techniques will apply to any object-oriented language. In Software Design for Python Programmers, you'll learn to: Analyze requirements and plan application architectureEvolve designs through iterative developmentShape Python classes with high cohesion and loose couplingUse decorators to introduce abstraction, enforce constraints, and enrich behaviorApply industry-standard design principles to keep code modular and maintainableChoose and implement the right design patterns for complex challengesAbout the Technology Great software starts with thoughtful design. You'll be a more effective developer if you can decide how data will flow through your applications, create a winning software architecture, and structure functions, classes, and modules before you write a line of code. This book will get you started! About the Book Software Design for Python Programmers is a practical guide for creating maintainable, well-structured software in Python. By investigating clear before and after examples, you'll discover how even small design choices can have a huge impact on an application's clarity and reliability. As you go, you'll learn how to gather requirements, shape a program's architecture iteratively, create clean and reusable abstractions, and select design patterns that solve the real problems you'll face on the job. What's InsideTurn vague requirements into solid designsPython-specific software design techniquesCreate classes with high cohesion and loose couplingAbout the Readers For programmers comfortable with Python syntax. About the Author Ronald Mak is a former NASA senior scientist. Currently, he teaches data science and computer science at San Jose State University. He is the author of Object-Oriented Software Design in C++. Table of Contents Part 11 The path to well-designed software2 Iterate to achieve good designPart 23 Get requirements to build the right applicatio
| Book format | Paperback |
| Fiction/nonfiction | Non-Fiction |
| Genre | Computing & Internet |
| Publication date | February, 2026 |
| Pages | 456 |
| Subgenre | Languages |
| Series title | No Series |
| Edition | 1 |
| Publisher | Manning Publications |
| Original languages | English |
| Language | English |
| Edu focus | Technology |
| Educational level | General |
| Is collectible | N |
| Digital file format | PDF, ePub |
| Digital reader format | PDF, ePub |
| Digital audio file format | PDF, ePub |
| Recording time | 0 min |
| Retail packaging | Single Piece |
| Assembled product dimensions (l x w x h) | 7.41 x 1.43 x 9.22 in (18.8 x 3.6 x 23.4 cm) |
| Assembled product weight | 1.2 lb (540 grams) |
| Bisac subject heading | Computers |
Product Description
Software Design for Python Programmers: Principles and Patterns, (Paperback)
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Features & Benefits
- Learn to level up from coding to designing Python applications.
- Get a free eBook and access to an interactive AI assistant.
- Master architectural principles like encapsulation and abstraction.
- Use real-world examples to illustrate improved code design.
- Create maintainable, well-structured software using Python.
- Suitable for programmers familiar with Python syntax.
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