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

Methodologies, Paradigms, and Practices

It could be argued that software engineering, at least as it's usually thought of now, really came into being with the first formally identified software development methodology. That methodology (which was eventually dubbed Waterfall in 1976) made people start thinking about not just how the software worked, or how to write the code, but what the processes around writing the code needed to look like in order to make it more effective. Since then, roughly a dozen other methodologies have come into being, and in at least one case, the collection of various Agile methodologies, there are nearly a dozen distinct sub-variants, though Scrum is almost certainly the most widely known, and Kanban may be a close second.

While those methodologies were growing and maturing, the increase in computing power also led, eventually, to newer...