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Learning Python, Second Edition Second Edition

by Mark Lutz (Author), David Ascher (Author)

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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. This 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.

ISBN-10

0596002815
ISBN-13

978-0596002817
Edition

Second
Publisher

O'Reilly Media
Publication date

January 2, 2004
Language

English
Dimensions

7 x 1.11 x 9.19 inches
Print length

552 pages
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Editorial Reviews

About the Author

Mark Lutz is an independent Python trainer, writer, and software developer, and is one of the primary figures in the Python community. He is the author of the O'Reilly books Programming Python and Python Pocket Reference (both in 2nd Editions), and co-author of Learning Python (both in 2nd Editions). Mark has been involved with Python since 1992, began teaching Python classes in 1997, and has instructed over 90 Python training sessions as of early 2003. In addition, he holds BS and MS degrees in computer science from the University of Wisconsin, and over the last two decades has worked on compilers, programming tools, scripting applications, and assorted client/server systems. Whenever Mark gets a break from spreading the Python word, he leads an ordinary, average life with his kids in Colorado. Mark can be reached by email at , or on the web at http://www.rmi.net/~lutz.

David Ascher is the lead for Python projects at ActiveState, including Komodo, ActiveState's integrated development environment written mostly in Python. David has taught courses about Python to corporations, in universities, and at conferences. He also organized the Python track at the 1999 and 2000 O'Reilly Open Source Conventions, and was the program chair for the 10th International Python Conference. In addition, he co-wrote Learning Python (both editions) and serves as a director of the Python Software Foundation. David holds a B.S. in physics and a Ph.D. in cognitive science, both from Brown University.

Product details

Publisher ‏ : ‎ O'Reilly Media; Second edition (January 2, 2004)
Language ‏ : ‎ English
Paperback ‏ : ‎ 552 pages
ISBN-10 ‏ : ‎ 0596002815
ISBN-13 ‏ : ‎ 978-0596002817
Item Weight ‏ : ‎ 1.9 pounds
Dimensions ‏ : ‎ 7 x 1.11 x 9.19 inches

Best Sellers Rank: #2,762,068 in Books (See Top 100 in Books)
- #495 in Macintosh Operating System
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- #2,716 in Python Programming

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(4.0) 58 ratings

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Mark Lutz
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Mark Lutz is the author of Python's classic and foundational texts, a former trainer with two decades of experience teaching Python to newcomers, and one of the people responsible for the prominence that Python enjoys today. For more info, see the author's books and programming site at learning-python.com.
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58 global ratings

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Jack Sparrow

Thorough introduction but slow and not good for reference

Reviewed in the United States 🇺🇸 on January 2, 2005

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Update for the 2009 edition: Mr Lutz has really gone overboard. This "learning" book has became heavier than Python itself. The size of the book detracts from the spirit of Python, which fortunately remains a compact and simple language as intended. I believe that many computer-literate people will find it easier and definitely quicker to just start coding in Python and read a documentation page now and then rather than read this book. Busy programmers who reported writing their first useful Python class in a few hours would need weeks to do the same while reading this book. Mr Lutz, let's be pythonic and scale this tome back to 500 pages, shall we?

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.

17 people found this helpful

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T. Mikov

Disorganized, bloated book

Reviewed in the United States 🇺🇸 on December 17, 2004

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I did not like this book. It is terribly organized. It is incomplete. Although it doesn't present wrong information, the way it is presented makes it seem inaccurate. Information on one same subject is scattered in many different chapters and never presented in one place. For that reason it is practically impossible to use as a reference or to quickly find a piece of info.

For example, while I was mid-way through the book, I wanted to quickly check what kind of comments Python supported. Does it support only one kind (line comments), or like C++ and Java has two kinds (line and block) ? So, I checked the contents - I was searching for a chapter called something like "lexical structure", or even "comments". No luck. (However, I did find a chapter called "Clicking Windows File Icons" ... - very useful! )

I didn't give up. Next step, check the index. "Comments" are mentioned three times in the book. The first time in the chapter "Basic Operations and Variables" (good choice!!!) - one kind of comment is described briefly in a paragraph with no relation to the rest of the chapter. Sadly, no answer to my question there.

The second time is in a chapter titled "Python Syntax Rules". Hmm, that makes more sense. Well, technically not, since comments are not part of the syntax, but let's not get technical ... Here it says that comments are ignored. Good to know. But how many kinds of comments are there ???

The third mention of comments is in the chapter "Documenting Pyhton Code". "Finally!", I say to myself and naively rush through the pages. Alas, no luck again. It says that "#" comments are a way to document code, but again it doesn't say if they are the only kind of comment, or if there are others.

By this time it is probably implied that there is no other kind of comments, since it is never never mentioned, however one SHOULD NOT have to guess about such things when reading a technical book.

I went ahead and checked the online Python documentation at [...] . It took me 5 seconds to find "Lexical analysis", "Comments" and read what I needed. Why did I bother with the book ??

In defense of the book, I must say that it is not all bad. It does sucesssfully teach you to program in Python, even though it is strongly geared to inexperienced programmers (and thus annoying at places). However you absolutely need one more source of reference for Python, and if you have that, why buy this book ?

It is nothing like "The Java Programming Language", which in my mind is an example of an excellent language book and reference.

16 people found this helpful

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W. O. Smith

Slow moving for those with previous programming experience.

Reviewed in the United Kingdom 🇬🇧 on August 5, 2005

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If, like me and many other programmers, you are already somewhat familiar with C++ and Perl, you'll find this book slow moving. I would guess that few people start with Python as their first major programming language.
I'm about 40% through the book and we've only just covered function calls, and nothing OO. There's only been 4 or 5 new concepts so far that aren't identical to other common languages.
The author does go some way towards saying "this is similar to the C idea of ..." or "those familiar with C++ will recognise the similarities...". But what would be really useful would be a big bar next to the few concepts that are fundamentally different, saying "!!!Python Specific!!!" or something.
Having said that, there's few typos and the writing style is reasonable. I'd like to give it 3.5 stars really.

14 people found this helpful

KarEl BrightShooster

Geht tief und ist faszinierend

Reviewed in Germany 🇩🇪 on July 7, 2004

Verified Purchase

Hallo,
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.
Ein Genuss
Carl r.

5 people found this helpful

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Antoine

Très didactique

Reviewed in France 🇫🇷 on September 14, 2015

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Bon ouvrage d'introduction à Python.
Les concepts sont présentés clairement et les exemples sont bien choisis.
La partie dédiée à Ttinker est elle réellement pauvre.

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