Software Design for Python Programmers: Principles and patterns

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 architecture
• Evolve designs through iterative development
• Shape Python classes with high cohesion and loose coupling
• Use decorators to introduce abstraction, enforce constraints, and enrich behavior
• Apply industry-standard design principles to keep code modular and maintainable
• Choose and implement the right design patterns for complex challenges

About 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 Inside
• Turn vague requirements into solid designs
• Python-specific software design techniques
• Create classes with high cohesion and loose coupling