Python Distilled

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Python Distilled
 

  • Author:David Beazley
  • Length: 336 pages
  • Edition: 1
  • Publisher: Addison-Wesley Professional
  • Publication Date: 2021-09-27
  • ISBN-10: 0134173279
  • ISBN-13: 9780134173276
  • Sales Rank: #582724 (See Top 100 Books)
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  • Buy Print:Buy from amazon


    Book Description

    Python has grown into one of the world’s most popular programming languages, with a wealth of reference information available for it. For Python programmers, the richness of modern Python presents new challenges. It can be overwhelming to know where to begin–or even whether you’re coding in a reasonable style. Problems like these are the foundation for Dave Beazley’s new Python Distilled.

    Focusing solely on the latest versions of Python (3.5 and higher), this title returns to the roots of Beazley’s classic Python Essential Reference. This new book is a concise but powerfully useful handbook on effective Python programming. Rather than trying to document “everything,” Beazley now focuses on what is truly “essential.” In so doing, he reflects all he’s learned through years of teaching Python to scientists, engineers, and software professionals, as well as writing software libraries and pushing the envelope of what Python makes possible.

    Beazley covers abstraction techniques, program structure, data, functions, objects, modules, and other topics selected to serve programmers working on Python projects of any size. He never forgets that productivity isn’t enough; programming ought to capture the magic that lives inside the computer. It should be fun, too.

    中文:

    书名:蒸馏出的巨蟒

    Python已经成长为世界上最流行的编程语言之一,并提供了丰富的参考信息。对于Python程序员来说,现代Python的丰富性带来了新的挑战。知道从哪里开始,甚至知道你是否正在以合理的风格编写代码,这可能是一件令人不知所措的事情。这样的问题是戴夫·比兹利新公司的基础。蒸馏出的巨蟒.

    只关注最新版本的Python(3.5及更高版本),这个标题回到了Beazley’的经典。Python基本参考资料。这本新书是一本关于有效的Python编程的简明但非常有用的手册。比兹利不是试图记录一切,而是专注于真正必不可少的东西。在这样做的过程中,他反映了他多年来向科学家、工程师和软件专业人员教授Python所学到的一切,以及编写软件库和挑战Python使之成为可能的极限。

    Beazley涵盖了抽象技术、程序结构、数据、函数、对象、模块和其他主题,这些主题是为从事任何规模的Python项目的程序员选择的。他永远不会忘记,光有生产力是不够的;编程应该抓住计算机内部的魔力。这也应该很有趣。

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