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Foundations of Agile Python Development 英文pdf版

  • 書籍大?。?span>8MB
  • 書籍語言:簡(jiǎn)體中文
  • 書籍類型:國(guó)產(chǎn)軟件
  • 書籍授權(quán):免費(fèi)軟件
  • 書籍類別:Python電子書
  • 應(yīng)用平臺(tái):PDF
  • 更新時(shí)間:2011-02-08
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情介紹

你一直迷戀Python語言,并掌握了它的許多細(xì)微差別。然而,事情似乎是缺少一生產(chǎn)力的提高,你可能是知道的,但你不知道如何去做。這是許多開發(fā)商的情緒如此前發(fā)現(xiàn)敏捷編程范例,它包含的概念,如
自動(dòng)化,有效的代碼管理和測(cè)試驅(qū)動(dòng)的開發(fā)。

基礎(chǔ)敏捷開發(fā)Python是第一本以應(yīng)用這些搶手到Python原則開發(fā)商介紹的工具和技術(shù)建成Python社區(qū)的支持。撰寫由Jeff揚(yáng)克,
一個(gè)Python的敏捷社區(qū)知名的成員誰可能是最好的他的創(chuàng)作而聞名的一個(gè)流行的Python測(cè)試框架,這本書肯定會(huì)被一擊之間誰可能已經(jīng)達(dá)到了極限的讀者Python語言知識(shí)有關(guān),但正在尋求改善
他們了解如何正確的流程可以提高生產(chǎn)力無與倫比的高度。

You’ve long been enamored with the Python language, and have mastered its many nuances. Yet something seems to be missing—a productivity boost that you know is possible but you’re not sure how to
go about it. This was the sentiment of so many developers before discovering Agile programming paradigm, which embraces concepts such as automation, effective code management, and test–driven development.

Foundations of Agile Python Development is the first book to apply these sought–after principles to Python developers, introducing both the tools and techniques built and
supported by the Python community. Authored by Jeff Younker,
a well–known member of Python’s agile community who is perhaps best known for his creation of a popular Python testing framework, this book is sure to be a hit among readers who may have reached their limits of knowledge regarding the Python language, yet are seeking to improve their understanding of how sound processes can boost productivity to unparalleled heights.

What you’ll learn
Understand why the Agile movement is increasing productivity and decreasing programmer stress the world around.
Use Eclipse and Subversion to add a whole new level of efficiency to your daily programming activities.
Change your perspective on testing from a necessary evil to a compelling and crucial part of your development process.
Automate your build process, eliminating much of the tedium surrounding testing and deployment tasks.
Who is this book for?
Python developers seeking to take advantage of efficient developer tools and techniques to boost productivity

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