- Taschenbuch: 620 Seiten
- Verlag: O'Reilly & Associates; Auflage: 2 (9. Januar 2004)
- Sprache: Englisch
- ISBN-10: 0596002815
- ISBN-13: 978-0596002817
- Größe und/oder Gewicht: 17,8 x 2,8 x 23,3 cm
- Durchschnittliche Kundenbewertung: 1 Kundenrezension
- Amazon Bestseller-Rang: Nr. 111.737 in Fremdsprachige Bücher (Siehe Top 100 in Fremdsprachige Bücher)
- Komplettes Inhaltsverzeichnis ansehen
Learning Python (Classique Us) (Englisch) Taschenbuch – 9. Januar 2004
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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
Portable, powerful, and a breeze to use, Python is the popular open source object-oriented programming language used for both standalone programs and scripting applications. Python is considered easy to learn, but there's no quicker way to mastery of the language than learning from an expert teacher. The new edition of Learning Python puts you in the hands of two expert teachers, Mark Lutz and David Ascher, whose friendly, well-structured prose has guided many a programmer to proficiency with the language. Learning Python, Second Edition offers programmers a comprehensive learning tool for Python and object-oriented programming. Thoroughly updated for the numerous language and class presentation changes that have taken place since the release of the first edition in 1999, this guide introduces the basic elements of the latest release of Python 2.3 and covers new features, such as list comprehensions, nested scopes, and iterators/generators.Beyond language features, this edition of Learning Python also includes new context for less-experienced programmers, including fresh overviews of object-oriented programming and dynamic typing, new discussions of program launch and configuration options, new coverage of documentation sources, and more. There are also new use cases throughout to make the application of language features more concrete. The first part of Learning Python gives programmers all the information they'll need to understand and construct programs in the Python language, including types, operators, statements, classes, functions, modules and exceptions. The authors then present more advanced material, showing how Python performs common tasks by offering real applications and the libraries available for those applications. Each chapter ends with a series of exercises that will test your Python skills and measure your understanding. Learning Python, Second Edition is a self-paced book that allows readers to focus on the core Python language in depth.As you work through the book, you'll gain a deep and complete understanding of the Python language that will help you to understand the larger application-level examples that you'll encounter on your own. If you're interested in learning Python--and want to do so quickly and efficiently--then Learning Python, Second Edition is your best choice. Alle Produktbeschreibungen
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eigentlich wollt ich mir dieses Buch nicht kaufen, da ich doch einige Kritiken las, die die erste Ausgabe 1999 gekauft hatten und mit der zweiten Auflage dann unzufrieden waren.
Aber für mich als Erstbetrachter der 2.Auflage bot sich eine total andere Sicht. Ich muss einfach sagen das die Aufteilung, die Formatierung, die Beispiele, der Umfang und die Gründlichkeit dieses Buch sehr wertvoll machen.
Man macht auf jeden fall einen gründlichen, interessanten Einstieg. Ich möchte gar keine Seite auslassen, es ist einfach zu spannend.
Habe schon Bücher über Perl, C++, Bash mir zugelegt aber dieses liegt einfach an der Spitze. Natürlich fliesst auch dabei ein dass Pythen übersichtlich und mächtig ist.
Also super gelungen und vor allem für Neulinge ( auch nicht ganz so neue ) die den ersten Band noch nicht gelesen haben absolut super.
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It does two things very well. First, it gives you a good overview of the language. You can read the book front to back and it has a nice progression. You'll certainly know the basics if you do that.
Second, and probably more importantly, for those of us too impatient to read a book cover-to-cover, it serves as an excellent reference for beginners. When I started out there were all the little noob things that I found myself constantly having to look up. Like "how do you specify a comment?" or "how do you structure and if-block?" or "how to you get a substring out of a string". Very basic questions like this that many python books don't bother with because apparently they are too basic.
If there is a weakness, it's just that this book is rather small and only covers the very basics. So reading this book alone will certainly not make you a mighty python programmer, or even give you enough info to probably write something interesting. But this book definitely deserves a place on your bookshelf if you are starting out and need the basics.
The rest of the review is about the second edition:
I would never try to use this book as a reference. It was not designed and it's not good for that.
It was designed as your first book on Python, especially if this is your first programming language. As such, it gives you a really thorough and extensive introduction written by a renowed authority. The parts on functional programming, Python's OOP and modules lay the solid foundation for the future Python programmer. Beware though: compared to similar "foundation" books in other languages' realms, this one is slow-paced, limited in scope, wordy and even redundant at times.
If you already know a language like C++, Java or Perl, and especially if you've already written some Python code, then this book is not your best choice: it will seem terribly slow paced, tedious, bloated and of no value as a reference (which is what an experienced programmer like you really needs most of the time). In this case, you could use a short and freely available tutorial like Guido's, then a good reference book like Python in a Nutshell and maybe some more advanced books like Python Cookbook and Python 2.1 Bible (provided there will be a new edition).
As an intermediate or experienced programmer, you may still benefit from Lutz's "textbook". You may want to skim quickly through the first 3 Parts (which make 180 pages of beginner's stuff you've learned in highschool, decorated with the occasional gem toward the end of some chapters), then slow down a bit for the rest of the book and pay special attention to chapters 14, 17, 18, 21, 22, 23, and 27. This book has too many chapters for my taste, btw.
Part VIII, written by another authority (David Ascher), is a little too short and still bad for reference. In the next edition, I hope it will be expanded to a reasonable level of detail. I found the coverage of regular expressions particularly disappointing -- probably because they are covered by Mr Lutz's other book, Programming Python, which was supposed to be your second book. The exercises at the end of each Part are not the most interesting and useful I know of.