Hands-On Software Engineering with Python: Move beyond basic programming and construct reliable and efficient software with complex code
暫譯: 實作Python軟體工程:超越基本程式設計,構建可靠且高效的複雜程式碼軟體

Brian Allbee

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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

  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

商品描述(中文翻譯)

透過高端系統使用 Python 探索軟體工程的各種領域

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選擇一個作為最終的中央辦公室系統組件

  • 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,它還包括一系列適用於幾乎任何開發工作的軟技能,無論是什麼語言、開發方法論或項目的範疇。成為一名資深開發者幾乎要求對這些技能及其預期的技術對應項在項目生命週期中如何相互融合有一定的認識。本書將引導您探索這一發現,通過回顧多層系統及其相關軟體項目的整個生命週期。您將看到在任何開發發生之前會發生什麼,以及在每一步所做的決策和設計對開發過程的影響。整個項目的開發將基於現實世界的敏捷迭代進行,過程中有時會從零開始,使用世界上增長最快的語言之一——Python。將展示在 Python 中應用的實踐,以及一些經常被忽視的 Python 特定功能。最後,本書將從基本原則到完整基礎實現一個高性能計算解決方案。

您將學到什麼


  • 了解系統生命週期(SDLC)過程中發生的事情

  • 確定在開發前生命週期步驟中應該期待什麼

  • 了解 SDLC 的開發特定階段如何影響開發

  • 揭示現實世界的開發過程可能是什麼樣的,採用敏捷方式

  • 了解如何做的不僅僅是編寫程式碼

  • 識別項目獨立的最佳實踐及其使用方法

  • 了解如何設計和實現高性能計算過程

本書適合誰

如果您是一名對程式設計及其範式有基本了解的開發者,並希望提升為資深程式設計師,那麼《Hands-On Software Engineering with Python》適合您。假設您具備基本的 Python 知識。

目錄


  1. 程式設計與軟體工程

  2. 軟體開發生命週期

  3. 系統建模

  4. 方法論、範式與實踐

  5. hms_sys 系統專案

  6. 開發工具與最佳實踐

  7. 設置專案與流程

  8. 創建業務對象

  9. 測試業務對象

  10. 考慮業務對象的資料持久性

  11. 資料持久性與 BaseDataObject

  12. 將對象資料持久化到檔案

  13. 將資料持久化到資料庫

  14. 測試資料持久性

  15. 服務的解剖

  16. 工匠網關服務

  17. 處理服務交易

  18. 測試與部署服務

  19. Python 中的高性能計算

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