Explore various verticals in software engineering through high-end systems using Python

• 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

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.

• 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

Hands-On Software Engineering with Python is for you if you are a developer having basic understanding of programming and its paradigms and want to skill up as a senior programmer. It is assumed that you have basic Python knowledge.

1. Programming vs. Software Engineering
2. The Software Development LifeCycle
3. System Modeling
4. Methodologies, Paradigms and Practices
5. The hms_sys System-Project
6. Development Tools and Best Practices
7. Setting up Projects and Processes
8. Creating the Business-Objects
9. Testing the Business-Objects
10. Thinking About Business-Object Data-Persistence
11. Data Persistence and BaseDataObject
12. Persisting Object Data to Files
13. Persisting Data to a Database
14. Testing Data Persistence
15. Anatomy of a Service
16. The Artisan Gateway Service
17. Handling Service Transactions
18. Testing and Deploying Services
19. High Performance Computing in Python

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Brian Allbee has been writing programs since the mid-1970s, and started a career in software just as the World Wide Web was starting to take off. He has worked in areas as varied as organization membership management, content/asset management, and process and workflow automation in industries as varied as advertising, consumer health advisement, technical publication, and cloud-computing automation. He has focused exclusively on Python solutions for the best part of a decade.