Software architecture with Python

Leverage the power of the Revit family editor to create complex forms drawn from classical architecture. This book brings together three of the author’s favorite things: architecture, history and Revi

Software Systems Architecture, Second Edition is a highly regarded, practitioner-oriented guide to designing and implementing effective architectures for information systems. It is both a readily acce

System Quality and Software Architecture collects state-of-the-art knowledge on how to intertwine software quality requirements with software architecture and how quality attributes are exhibited by t

More and more Agile projects are seeking architectural roots as they struggle with complexity and scale - and they're seeking lightweight ways to do it Still seeking? In this book the authors help yo

Today, more than ever, building software is hard. Not only we have to chase ever-changing technological trends, but we also have to grasp business domains that we are building the software for. The latter is often overseen, and it explains why so many projects are doomed to fail. After all, how can you build a solution if you don't understand the problem?Through this book, you will learn the Domain-Driven Design (DDD) methodology which provides a set of core patterns, principles, and practices for analyzing business domains, understanding business strategy, and, most importantly, aligning software design with its business needs. These include Ubiquitous Language, Bounded Contexts, Event Storming, and others. You will see how these practices not only lead to robust implementation of business logic, but also to future-proof software design and architecture. You will also learn the relationship between DDD and other methodologies to ensure that you are able to make architectural decisions

Learn software engineering and coding best practices to write Python code right and error free. In this book you’ll see how to properly debug, organize, test, and maintain your code, all of which lead

This book presents a systematic model-based approach for software architecture description according to three complementary viewpoints: structure, behavior, and execution. It covers a unified modeling

The best-practices solution guide for rescuing broken software systemsIncremental Software Architecture is a solutions manual for companies with underperforming software systems. With complete guidanc

If you are a quality testing professional, or a software or web application developer looking to create automation test scripts for your web applications, with an interest in Python, then this is the

With this convenient, single-source reference, you'll learn how to develop instrumentation software with Python that lets you monitor or control devices in the physical world. Whether you need to acq

A no-nonsense introduction to software design using the Python programming language. Written for people with no programming experience, this book starts with the most basic concepts and gradually adds new material. Some of the ideas students find most challenging, like recursion and object-oriented programming, are divided into a sequence of smaller steps and introduced over the course of several chapters. The focus is on the programming process, with special emphasis on debugging. The book includes a wide range of exercises, from short examples to substantial projects, so that students have ample opportunity to practise each new concept. Exercise solutions and code examples are available from thinkpython.com, along with Swampy, a suite of Python programs that is used in some of the exercises.

A no-nonsense introduction to software design using the Python programming language. Written for people with no programming experience, this book starts with the most basic concepts and gradually adds new material. Some of the ideas students find most challenging, like recursion and object-oriented programming, are divided into a sequence of smaller steps and introduced over the course of several chapters. The focus is on the programming process, with special emphasis on debugging. The book includes a wide range of exercises, from short examples to substantial projects, so that students have ample opportunity to practise each new concept. Exercise solutions and code examples are available from thinkpython.com, along with Swampy, a suite of Python programs that is used in some of the exercises.