Code that executes in a parallel manner has a few additional factors to consider as it's being developed. The first consideration is the input to the program. If the primary operations against any set of data are wrapped in a function or method, then the data is handed off to the function. The function does whatever it needs to do, and control is handed back to the code where the function was called. In a parallel processing scenario, that same function might be called any number of times, with different data, with control passing back to the calling code in a different order than their execution started in. As the datasets get larger, or more processing power is made available to parallelize the function, more control has to be exerted over how that function is called, as well as when (under what circumstances), in order to reduce or eliminate...
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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