Hands-On Software Engineering with Python

Learn how to apply real-world Software Engineering disciplines by seeing them applied to a Python system, from fundamentals through high-end systems.

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 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 walking through 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 implemented, sometimes starting with nothing, in one of the fastest-growing languages in the world — Python. The details of, and advantages behind a number industry best practices will show why they are best practices. Application of those practices in Python will be laid out, and some Python-specific capabilities that are often overlooked. Finally, the book will, from first principles to complete implementation, implement a High Performance Computing solution, and show the application of Metaprogramming concepts to the book’s project.

This book is for existing developers who have basic understanding of Programming and Programming paradigms and would like to skill up as a Senior Programmer. Basic Python knowledge is assumed

Brian Allbee has been a developer professionally for two decades. His experience includes web and system applications in several languages, for industries as varied as organization membership services, consumer health-care reporting, advertising, and cloud automation. He fell in love with Python just before 2.6 was available, and has focused his development efforts as much on Python as time and professional obligations allowed since then. He lives and codes in the Denver area.