Amazon.com Review
Every so often a book comes along that makes you ask yourself, "Gee, when was the last time I had my eyes checked?" David M. Beazley's Python: Essential Reference is just such a book. Condensing thousands of pages of Python online documentation into a compact 319-page softcover, Beazley and his editors used the old-college trick (often performed in reverse) of dickering with the font size to meet a putative page-limit requirement. The result is a truly condensed product fit for the occularly well-adjusted (nota bene).
Beazley's subject is Python, a full-featured, freely-redistributable, POSIX-compliant (platforms include Linux, Unix, Macintosh, and Windows) scripting language that is based on object-oriented design principles. As advertised, Beazley's source release (1.5.2) is available from an unfortunately slow server at www.python.org. The installation under Linux (Redhat 5.2) proceeded without incident.
Beazley holds true to his catalogic purpose: fully 230 pages are formatted as technical appendices and indices covering the standard litany: built-in function syntax, database features, OS-level interfaces, Internet interfaces, and compiling/profiling/debugging. All references are fully annotated and illustrated with example source code that runs from a couple of lines to a couple of pages. In lock step with competing scripting languages, Python is extensible and embeddable in C and C++, and with blitzkrieg efficiency, Beazley summarizes these crucial practical issues in the final 30 pages. Python users who are tired of chasing questions through hyperlinked online documents will benefit from the expansive random-access index.
Python the book captures the orderliness of Python the language. Beazley begins with an 86-page précis of Python in the fashion of Kernighan and Ritchie: too brief for a newbie tutorial but enough to propel old hands into a scripting language that aspires to the elegance of a compiled language.
Indeed, it is a byte-compiling language. The line bytecode=compile("some_python_script",'','exec')) creates 'bytecode' as a token executed by exec bytecode. But a five-minute investigation through Beazley's book does not describe how 'bytecode' can be written into a separate executable file. If writing the byte-compiled code to a file is not possible, Python suffers from the limitations of other scripting languages: the executable is the source and cannot be hidden from the user, at least not without some difficulty. Despite its extensibility, embeddability, and pleasing architecture, Python is like other scripting languages: appropriate for solving small nonproprietary problems.
Those familiar with more established scriptors like Perl may ask, "Why Python?" Unlike Perl, Python is a product of the fully object-oriented (OO) era, and its constructs reflect design principles that aspire beyond keystroke shortcuts of the succinct-but-often-arcane Perl. Python creator Guido van Rossum cleansed Perl's idiosyncracies and objectified basic data structure, data manipulations, and I/O. With Python, OO is so intrinsic that learning Python is equivalent to learning OO. The same cannot be said of Perl.
Unfortunately, comparisons with other languages are missing from Beazley's book. Van Rossum, in an embarrassingly self-serving foreword, preemptively asserts that we readers need "neither evangelizing nor proselytizing"--after all, we already own the book--but we do need galvanizing and we don't find it. Specifically, we need a response to the oft-repeated wisdom that new computer languages are only worth learning if they teach us to organize our thinking along new lines.
Scripting languages, however, are for quick and dirty projects: quick to write, easy to hack, and ultimately disposable. The essential tension created by van Rossum and friends is between the elegance of object-oriented principles and the utility of a quick-hacked script. Sadly, the tension remains unresolved in Beazley's reference. There is little to convince us that Python has earned its place in the firmament by changing our thinking. But Beazley has given us much to get us going if we have already taken the leap of faith. --Peter Leopold --This text refers to an out of print or unavailable edition of this title.
From Library Journal
Though Python is a relatively new programming language, it has quite a significant audience owing to its sensible syntax. An active user of Python since 1996, Beazley provides ample information on the fundamentals of versions 2.0 and 2.1, including syntax, functions, operators, classes, and libraries. This is first and foremost a reference, so he avoids lengthy discussions of Python's superiority. Peppered with good code samples and featuring a companion web site with more extensive pieces, this title should be on hand in larger libraries.
Copyright 2001 Reed Business Information, Inc.
David M. Beazley 早在1996年就开始使用Python编程。在洛斯阿莫斯国家实验室工作期间,他教会很多志愿者用Python编写科学计算软件。他创办的Dabeaz 公司提供软件开发、培训和咨询服务,专长于Python、Ruby、Perl等动态编程语言的实际应用。他是Python软件基金会的会员。
很全面,结构很清晰,没有废话,第一部分必须从头到尾认真看,全部都有用,帮整你肯定都会用上。有些例如lamda表达式、yield与生成式讲的不够具体,但其它python也不过如此,这其实是函数式编程的内容。第二部分是Python库,可用以参考
评分每天睡觉前看看,有助于睡眠,老大的英文书,带回来治疗失眠的 哈哈。 这本书,还不错啊?不知道中文的翻译是什么样子的,反正英文的看着还行,后面的高级部分主要是介绍原理和模块的,例子也很少,想看例子的同学需要移步python cookbook
评分书是好书,中文版把Index去掉了,唉。图灵的书大都保留Index的,这本不知道为什么去掉了,可惜。 为什么还说我的评论太短了~ 为什么还说我的评论太短了~ 为什么还说我的评论太短了~ 为什么还说我的评论太短了~ 为什么还说我的评论太短了~
评分如果已经掌握了几种编程语言了,学Python就用这本书,其它Python的书都可以烧掉了。 这本书不仅将语法和API组织的井然有序,更可贵的,是他在整部书中穿插了很多best practices.
评分1:主从句关系混乱,主谓宾衔接关系混乱。 2:英语即使他们懂,他们也不会用很流畅的汉语逻辑反应到书面上 3:英语其实他们不是特别懂 4:汉语水平也很一般 5:对他们的学识水平强烈怀疑,技术思维很一般,没有敏感度,否则书不会翻译成这样。 6:因为我们是中国人,需要汉语记...
作为一个对 Python 已经有了基本掌握的开发者,我一直在寻找能够帮助我提升代码质量和效率的书籍。《Python Essential Reference》彻底改变了我对 Python 的看法。它不仅仅是一本工具书,更是一本能够启发思维的指南。我尤其欣赏书中关于 Python 语言设计哲学和最佳实践的论述。它并没有仅仅停留在“如何做”,而是深入探讨了“为什么这样做”。比如,关于 Python 的可读性原则,以及如何利用 Python 的特性来编写简洁、易于维护的代码,这些内容对我影响深远。书中的“Pythonic”编程风格的讲解,让我开始审视自己过去的一些编码习惯,并学会了如何写出更符合 Python 社区规范的代码。另外,我对书中关于并发和并行处理的章节印象深刻,它清晰地解释了线程、进程和协定的区别和应用场景,为我理解多线程编程打开了新的视角。我还学到了如何有效地利用生成器来处理大数据集,这对于减少内存占用和提高程序响应速度至关重要。这本书的另一个亮点是它对 Python 标准库的深入解读,我发现了很多之前从未注意到的、非常实用的模块,极大地丰富了我的工具箱。
评分这本书简直是 Python 学习者的圣经!我最近一直在探索 Python 的深度,希望能真正理解它的底层机制,而不是仅仅停留在语法层面。搜索了很久,终于找到了《Python Essential Reference》,它完美地满足了我的需求。这本书不仅仅是列举了各种库和函数的用法,而是深入浅出地讲解了 Python 的核心概念。例如,它对 Python 的对象模型进行了详尽的阐述,让我对类、实例、属性和方法有了全新的认识。我一直对 Python 的垃圾回收机制感到好奇,这本书用了大量篇幅来解释它的工作原理,让我对内存管理有了更清晰的理解。而且,书中关于装饰器和元类的讲解更是让我豁然开朗,这些高级特性之前一直让我望而却步,但现在我感觉自己已经能够灵活运用它们来构建更优雅、更高效的代码。此外,书中的示例代码非常精炼且具有代表性,每一个例子都直击要点,让我能快速理解抽象的概念。作者的讲解逻辑清晰,语言严谨,丝毫不会让人感到枯燥乏味。对于任何想要深入理解 Python、提升编程技艺的开发者来说,这本书绝对是不可或缺的宝藏。我特别喜欢它对 Python 内部数据结构(如列表、字典)的实现细节的剖析,这对我优化算法和提高程序性能大有裨益。
评分我是一名在校的学生,正在学习 Python 作为我的主要编程语言。《Python Essential Reference》是我在众多 Python 书籍中选择的佼佼者。我之前尝试过一些入门级的教程,但总感觉它们止步于表面,无法帮助我建立起对 Python 整体的深刻认识。这本书则不同,它从最基础的概念讲起,但又能够循序渐进地引导我接触到更高级的主题。我喜欢它详尽的解释,比如对于“鸭子类型”的论述,让我第一次真正理解了 Python 在面向对象编程上的灵活性。书中关于异常处理的部分也让我受益匪浅,它教授了我如何编写健壮的代码,能够优雅地处理各种运行时错误,这对于我完成课程项目至关重要。此外,它对 Python 的数据模型和特殊方法的详细讲解,为我理解各种对象是如何工作的打下了坚实的基础。我尤其喜欢它关于代码组织的建议,以及如何编写模块和包,这对我构建更大型的项目非常有帮助。这本书的语言风格清晰明了,即使是复杂的概念也能被解释得通俗易懂。
评分我一直认为,要想真正掌握一门编程语言,就必须深入理解它的核心。而《Python Essential Reference》正是这样一本能够帮助你实现这一目标的绝佳书籍。我最喜欢的部分是它对 Python 语言内部机制的详细剖析。例如,它解释了 Python 的命名空间是如何工作的,以及作用域是如何影响变量的可见性的。这让我能够避免很多常见的编程错误。书中还深入探讨了 Python 的继承和多态性,我以前对此理解得比较模糊,但通过这本书,我能够清晰地看到它们是如何在 Python 中实现的,以及如何在实际编程中有效地利用它们。我还学到了很多关于 Python 内存管理的高级技巧,包括如何使用 `__slots__` 来优化对象的内存占用。对于那些对 Python 的底层原理感到好奇的开发者来说,这本书绝对是不容错过的。它不仅仅是教你如何使用 Python,更是帮助你理解 Python 的“灵魂”。
评分在我看来,技术书籍的价值在于它的深度和广度,而《Python Essential Reference》在这两方面都做得非常出色。这本书为我打开了 Python 世界的另一扇大门。我一直对 Python 的可扩展性很感兴趣,这本书详细介绍了如何通过 C 扩展来提升 Python 程序的性能,这对我开发高性能计算应用非常有启发。另外,书中关于 Python 的解释器内部机制的讨论,让我对 Python 的执行过程有了更深入的了解,这对于调试和优化复杂程序非常有帮助。我特别喜欢它关于 Python 的字节码和虚拟机部分的讲解,这让我能够更深入地理解 Python 代码是如何被执行的。而且,书中对一些 Python 常见性能瓶颈的分析,以及如何通过各种技术手段来解决这些问题,都让我受益匪浅。这本书的知识密度非常高,但作者的讲解方式却丝毫不让人感到吃力,反而让人越读越想继续深入。
评分小而全 可以多看几遍
评分工具书,随手翻。
评分不错的参考书。从基本语法到标准库都有,而且有实用例子。
评分A concise python introductory book for experienced developers.
评分中文翻译质量果然很烂,http://book.douban.com/subject/5401851/,不过书的确不错
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