Book Image

Hands-On Software Engineering with Python

By : Brian Allbee, Nimesh Verma
Book Image

Hands-On Software Engineering with Python

By: Brian Allbee, Nimesh Verma

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)
Free Chapter
1
Programming versus Software Engineering

System scope and scale

If all of these items are documented and/or diagrammed, if it's done thoroughly and accurately, they will, collectively, provide a holistic view of the total scope of a system:

  • Every system component role should be identified in the Logical Architecture
  • Where each of those components actually resides should be identified in the Physical Architecture
  • Every use case (and hopefully every business process) that the system is supposed to implement should be identified in the use-case documentation, and any of the underlying processes that aren't painfully obvious should have at least a rough happy-path breakdown
  • Every chunk of data that moves from one place or process to another should be identified in the Data Flow, with enough detail to collate a fairly complete picture of the structure of that data as well
  • The formats and protocols that govern...