Hands-On Software Engineering with Python: Move beyond basic programming and construct reliable and efficient software with complex code
Brian Allbee
- 出版商: Packt Publishing
- 出版日期: 2018-10-27
- 售價: $2,210
- 貴賓價: 9.5 折 $2,100
- 語言: 英文
- 頁數: 736
- 裝訂: Paperback
- ISBN: 1788622014
- ISBN-13: 9781788622011
-
相關分類:
Python、程式語言、軟體工程
海外代購書籍(需單獨結帳)
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相關主題
商品描述
Explore various verticals in software engineering through high-end systems using Python
Key Features
- 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
Book 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
Who this book is for
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.
Table of Contents
- Programming vs. Software Engineering
- The Software Development LifeCycle
- System Modeling
- Methodologies, Paradigms and Practices
- The hms_sys System-Project
- Development Tools and Best Practices
- Setting up Projects and Processes
- Creating the Business-Objects
- Testing the 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
- High Performance Computing in Python
商品描述(中文翻譯)
透過使用Python在高端系統中探索軟體工程的各個垂直領域
主要特點
- 掌握軟體工程中使用的工具和技術
- 評估可用的資料庫選項並為最終的中央辦公室系統組件選擇一個
- 體驗軟體經歷的迭代過程並打造企業級系統
書籍描述
軟體工程不僅僅是編寫程式碼 - 它還包括一系列軟技能,適用於幾乎任何開發項目,無論是什麼語言、開發方法論或項目範圍。成為一名高級開發人員幾乎需要了解這些技能以及它們預期的技術對應物如何在項目的生命週期中相互結合。本書通過介紹多層系統及其相關軟體項目的整個生命週期,引導讀者進行這一發現。您將了解在任何開發之前發生的情況,以及每個步驟所做的決策和設計對開發過程的影響。整個項目的開發將根據現實世界的敏捷迭代進行,有時從無到有,使用世界上增長最快的語言之一 - Python。書中將介紹Python的實踐應用,以及常常被忽視的一些Python特定功能。最後,本書將從基礎開始實現高性能計算解決方案。
你將學到什麼
- 了解系統生命週期中發生的情況(SDLC)
- 確定預開發生命週期步驟的預期結果
- 了解SDLC的開發特定階段如何影響開發
- 以敏捷方式揭示現實世界的開發過程
- 了解如何做更多事情而不僅僅是編寫程式碼
- 識別獨立於項目的最佳實踐的存在以及如何使用它們
- 了解如何設計和實施高性能計算流程
本書適合對象
如果您是一名具有基本程式設計和範式理解的開發人員,並希望成為高級程式設計師,那麼《Hands-On Software Engineering with Python》適合您。假設您具備基本的Python知識。
目錄
- 程式設計 vs. 軟體工程
- 軟體開發生命週期
- 系統建模
- 方法論、範式和實踐
- hms_sys系統項目
- 開發工具和最佳實踐
- 建立項目和流程
- 創建業務對象
- 測試業務對象
- 思考業務對象數據持久性
- 數據持久性和BaseDataObject
- 將對象數據持久化到文件
- 將數據持久化到資料庫
- 測試數據持久性
- 服務的解剖學
- Artisan Gateway服務
- 處理服務事務
- 測試和部署服務
- Python中的高性能計算