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Hands-On Software Engineering with Python

Hands-On Software Engineering with Python

By : Verma, Allbee
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Hands-On Software Engineering with Python

Hands-On Software Engineering with Python

By: Verma, Allbee

Overview of this book

Software Engineering is about more than just writing code—it includes a host of soft skills that apply to almost any development effort, no matter what the language, development methodology, or scope of the project. Being a senior developer all but requires awareness of how those skills, along with their expected technical counterparts, mesh together through a project's life cycle. This book walks you through that discovery by going over the entire life cycle of a multi-tier system and its related software projects. You'll see what happens before any development takes place, and what impact the decisions and designs made at each step have on the development process. The development of the entire project, over the course of several iterations based on real-world Agile iterations, will be executed, sometimes starting from nothing, in one of the fastest growing languages in the world—Python. Application of practices in Python will be laid out, along with a number of Python-specific capabilities that are often overlooked. Finally, the book will implement a high-performance computing solution, from first principles through complete foundation.
Table of Contents (21 chapters)
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1
Programming versus Software Engineering

Messages

Before taking a serious look at the transmission-mechanism options, it would be beneficial to have a solid definition of what, exactly, constitutes a message being transmitted. At a minimum, given what the data flows coming into the Artisan Gateway service look like, and with some idea of what the actual data for a typical data object being transmitted entails, it's apparent that a message needs to be able to handle structured data. Internally, that's probably best represented by a dict, if only because they are easy to serialize and un-serialize into at least two different formats that are easily transmissible: JSON and YAML. We've already established data dictionary structures for the objects whose state data can be stored. A Product, for example, from an Artisan's perspective, whose data dictionary has been rendered into JSON looks like this:

{...
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83
Tech Concepts
36
Programming languages
73
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Hands-On Software Engineering with Python
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