Software Design in Python Kielce

Software Design for Python Programmers 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 challengesAbout the TechnologyGreat software starts with thoughtful design. You'll be a more effective developer if you can decide how data willflow 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 BookSoftware 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 couplingAbout the ReadersFor programmers comfortable with Python syntax.About the AuthorRonald 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 ContentsPart 11 The path to well-designed software2 Iterate to achieve good designPart 23 Get requirements to build the right application4 Good class design to build the application rightPart 35 Hide class implementations6 Don't surprise your users7 Design subclasses rightPart 48 The Template Method and Strategy Design Patterns9 The Factory Method and Abstract Factory Design Patterns10 The Adapter and Façade Design Patterns11 The Iterator and Visitor Design Patterns12 The Observer Design Pattern13 The State Design Pattern14 The Singleton, Composite, and Decorator Design PatternsPart 515 Designing solutions with recursion and backtracking16 Designing multithreaded programs