Hands-On Software Engineering with Python: Move beyond basic programming and construct reliable and efficient software with complex code

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The Software Development Life Cycle

All software development, Python or otherwise, above a certain level of complexity follows repeatable patterns, or has a life cycle. A Software (or System) Development Life-Cycle (SDLC) might be used as its own distinct development methodology, providing a set of tasks and activities that apply to the development process. That is, even if there is no formal process wrapped around an SDLC, any or all of the activities that go on through one may still take place, and any or all of the artifacts that come out of them may be available during the development of a project.

From the perspective of the actual development, not all of the artifacts resulting from an SDLC, formal or otherwise, may be significantly useful, either, particularly those coming out of the first few phases of the life cycle's process. Even so, the more knowledge that...

Key benefits

Master the tools and techniques used in software engineering

Evaluates available database options and selects one for the final Central Office system-components

Experience the iterations software go through and craft enterprise-grade systems

Description

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.

What you will learn

Understand what happens over the course of a system s life (SDLC)

Establish what to expect from the pre-development life cycle steps

Find out how the development-specific phases of the SDLC affect development

Uncover what a real-world development process might be like, in an Agile way

Find out how to do more than just write the code

Identify the existence of project-independent best practices and how to use them

Find out how to design and implement a high-performance computing process

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