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

Summary

Even if there is no formal SDLC in place, a lot of the information that would come out of one is still advantageous for developers to have access to. If enough of it is available, and if it's sufficiently detailed, readily accessible, and, above all, accurate, it can certainly help make the difference between a project just being programmed and being well-engineered software.

Another significant contributor to making that difference is the availability of similar information about the system itself, in any or all of several System Model artifacts. Those provide more implementation-oriented details that should be at least as useful as the policy and procedure-level information from the various SDLC artifacts. We’ll take a look at those next.