Amazon.com Review
The authors of Learning Python show you enough essentials of the Python scripting language to enable you to begin solving problems right away, then reveal more powerful aspects of the language one at a time. This approach is sure to appeal to programmers and system administrators who have urgent problems and a preference for learning by semi-guided experimentation.
First off, Learning Python shows the relationships among Python scripts and their interpreter (in a mostly platform-neutral way). Then, the authors address the mechanics of the language itself, providing illustrations of how Python conceives of numbers, strings, and other objects as well as the operators you use to work with them. Dictionaries, lists, tuples, and other data structures specific to Python receive plenty of attention including complete examples.
Authors Mark Lutz and David Ascher build on that fundamental information in their discussions of functions and modules, which evolve into coverage of namespaces, classes, and the object-oriented aspects of Python programming. There's also information on creating graphical user interfaces (GUIs) for Python applications with Tkinter.
In addition to its careful expository prose, Learning Python includes exercises that both test your Python skills and help reveal more elusive truths about the language. --This text refers to an out of print or unavailable edition of this title.
Review
As a book for programmers who want to learn Python, it does a very good job. The coverage is informative and well order; making it easy to find what you're looking for. Overall, if you do some work with Python, you will benefit from owning this book. " - Sam Smith, news@UK, March "This book is a good example of Python culture, in the clarity of its text as much as in the quality of its code. Anyhone working their way through it will have a solid foundation upon which to explore Python's potential. Highly recommended." - Ivan Uemilianin, CVu, October 2004 --This text refers to the Paperback edition.
对于初学python的人,这么书或许很好,基本涵盖了python了的方方面面。但是个人觉得,这么书有点罗嗦,很简单的概念讲得很累赘。有600多面(我看的是原版),其实用不着那么多就可以讲清楚python的。
评分这本书是我在看完简明教程之后看的书,对于一个正在转变学习方式的人(从看书到doc)来说还不错。但是对于能力强点的人来说,python的tutorial和lib应该是最佳选择。然后想研究python源码的实现的话,python源码解析不错,要学习奇淫巧计的话cookbook很好的选择。。。
评分P157 注1 你可以把Python的引用想成C的void指针,每当使用时就会自动运行下去。 -> 原文:You can think of Python references as C "void *" pointers, which are automatically followed whenever used. 这里似乎没有什么东西会自动运行下去。 P161 L7 之前,-> 原文as befor...
评分P157 注1 你可以把Python的引用想成C的void指针,每当使用时就会自动运行下去。 -> 原文:You can think of Python references as C "void *" pointers, which are automatically followed whenever used. 这里似乎没有什么东西会自动运行下去。 P161 L7 之前,-> 原文as befor...
评分这本书是我在看完简明教程之后看的书,对于一个正在转变学习方式的人(从看书到doc)来说还不错。但是对于能力强点的人来说,python的tutorial和lib应该是最佳选择。然后想研究python源码的实现的话,python源码解析不错,要学习奇淫巧计的话cookbook很好的选择。。。
很系统,很透彻,虽然废话多了些
评分整体上依旧出色。但这第四版要兼顾2.6和3.0,写的各类特性总让人迷迷糊糊不知能用不能用。最后多了第八部分,讲解Unicode、attribute、decorator、metaclass,够全面了。
评分恩,我有这本书的第2版chm和第4版pdf(怎么没有第3版的?)
评分很详细的一本书,个人觉得比LPTHW好多了。
评分恩,我有这本书的第2版chm和第4版pdf(怎么没有第3版的?)
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