Given how simple this package is, and that it has no external dependencies, there are no obvious considerations or items of even potential concern with regards to the operation and use of the package, or of decommissioning it. In the latter case, decommissioning would be nothing more than uninstalling the package (pip uninstall HMS-Core). Maintenance considerations would be similarly limited to updates of the package itself, which would be managed by simply rerunning the original installation process with a new package file.
Hands-On Software Engineering with Python
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Hands-On Software Engineering with Python
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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.
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Hands-On Software Engineering with Python
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Table of Contents (21 chapters)
Preface
Free Chapter
Programming versus Software Engineering
The Software Development Life Cycle
System Modeling
Methodologies, Paradigms, and Practices
The hms_sys System Project
Development Tools and Best Practices
Setting Up Projects and Processes
Creating Business Objects
Testing Business Objects
Thinking About Business Object Data Persistence
Data Persistence and BaseDataObject
Persisting Object Data to Files
Persisting Data to a Database
Testing Data Persistence
Anatomy of a Service
The Artisan Gateway Service
Handling Service Transactions
Testing and Deploying Services
Multiprocessing and HPC in Python
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