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Learning Python, 3rd Edition

Learning Python, 3rd Edition
Author: Mark Lutz
Publisher: O'Reilly Media, Inc.
Category: Book

List Price: $39.99
Buy New: $24.99
You Save: $15.00 (38%)

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New (35) Used (7) from $24.99

Avg. Customer Rating: 4.0 out of 5 stars 119 reviews
Sales Rank: 2595

Media: Paperback
Edition: 3
Number Of Items: 1
Pages: 746
Shipping Weight (lbs): 2.3
Dimensions (in): 9 x 7 x 1.4

ISBN: 0596513984
Dewey Decimal Number: 005.133
EAN: 9780596513986

Publication Date: October 22, 2007
Availability: Usually ships in 1-2 business days
Shipping: Expedited shipping available
Shipping: International shipping available
Condition: Brand new Item. CD, DVD, Book, VHS more than 400 000 titles to choose from. ALL days Low Price !

Also Available In:

  • Paperback - Learning Python, Second Edition
  • Paperback - Learning Python (Help for Programmers)
  • Paperback - Learning Python (2nd Edition)
  • Paperback - Learning Python (Help for Programmers)

Similar Items:

  • Programming Python
  • Python Cookbook
  • Python in a Nutshell (In a Nutshell (O'Reilly))
  • Python Pocket Reference (Pocket Reference (O'Reilly))
  • Learning Perl, Second Edition

Editorial Reviews:

Amazon.com
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.

Product Description
Portable, powerful, and a breeze to use, Python is ideal for both standalone programs and scripting applications. With this hands-on book, you can master the fundamentals of the core Python language quickly and efficiently, whether you're new to programming or just new to Python. Once you finish, you will know enough about the language to use it in any application domain you choose. Learning Python is based on material from author Mark Lutz's popular training courses, which he's taught over the past decade. Each chapter is a self-contained lesson that helps you thoroughly understand a key component of Python before you continue. Along with plenty of annotated examples, illustrations, and chapter summaries, every chapter also contains Brain Builder, a unique section with practical exercises and review quizzes that let you practice new skills and test your understanding as you go. This book covers: Types and Operations -- Python's major built-in object types in depth: numbers, lists, dictionaries, and more Statements and Syntax -- the code you type to create and process objects in Python, along with Python's general syntax model Functions -- Python's basic procedural tool for structuring and reusing code Modules -- packages of statements, functions, and other tools organized into larger components Classes and OOP -- Python's optional object-oriented programming tool for structuring code for customization and reuse Exceptions and Tools -- exception handling model and statements, plus a look at development tools for writing larger programs Learning Python gives you a deep and complete understanding of the language that will help you comprehend any application-level examples of Python thatyou later encounter. If you're ready to discover what Google and YouTube see in Python, this book is the best way to get started.


Customer Reviews:   Read 114 more reviews...

5 out of 5 stars Great introductory book   August 7, 2008
This is a really good introduction to Python. It is very clear, accessible and has quite a lot of substantial content. It does not get into the really deep details, but that is OK because if it tried to the book would become overwhelming. On the other hand, unlike some python books it is not so light and superficial to be good for newbies only. I think this is a great starter book on Python.


4 out of 5 stars This topic will be covered later in the book   August 3, 2008
"This topic will be covered later in the book" is the phrase most often encountered in this book.
Funny - but even on page 593 (out of 635 where appendix begins) we still see "we'll meet such an example in Chapter 28".
It seems like if you take out all the phrases that promise you to explain things in the rest of the book, the book itself will thrink 1/4 of it's size. Why do I even need to be told that you will cover it later in the book - I ASSUME it will be covered if you mention it. If not - refer me to some other resource.
The phrase above is just an example of the writting-alota-words-to-fill-up-space style. The legacy seems to have been carried forward into programming python by the same author on which I am working now.
Unfortunately this seems to be the best book in it's class, and there really is nothing to compare it to (considering it covers python2.5).
Even though I was done with the book in few weeks, I would still have preferred a more concise and to-the-point text.



5 out of 5 stars Learning Python - A Review   July 29, 2008
An excellent book for anyone new to both programming and the Python programming language.

If you want to learn how to program and are unsure where to begin, this book is definitely worth considering, both for it's concise, clear explanation of Python and programming concepts in general, and because the language Python is itself clear and concise.

Pros:
-Clear, concise
-Well written, decent pace
-Good intro for non-programmers
-Leads nicely into Programming Python and Python Cookbook
-Python itself is easy to learn, clear, and yet still powerful and cross-platform

Cons:
-Tends to drag in the beginning, spending too much time going over the details of the language instead of diving right into some useful code.
-NOT for programmers who have other language(s) under their belts. Consider Programming Python instead.



5 out of 5 stars Good for newcomers   July 25, 2008
As a ASIC Validation Engineer I need to write many scripts on daily basis. I use Perl for that. Never worked with Python before. I don't have any idea about OOP as well. My knowledge is limited to Verilog/VHDL and C. So I have decided to learn Python to get more flexibility in my job. I tried with many books but none of those are user friendly. If you have previous scripting knowledge and if you want to learn Python very quickly then this is the book for you. I think the best way is to translate your code into Python and then see the magic. I don't recommend this if you don't have good reading habit. Otherwise 5 star for me!


3 out of 5 stars Slowly Paced   July 23, 2008
If your goal is to get up to speed quickly with Python this might not be the book for you. Especially if you already have programming experience then you are better off downloading the documentation from python.org. That documentation covers the same material but much more succinctly. For example, in the reference manual at python.org, the "while" statement is described in less than a dozen lines of text, while in "Learning Python" it drags on across multiple pages.

The advantage of "Learning Python" is this: (1) the author shares the style and idioms that experienced Python programmers would use; and (2) the author offers insight into the history and design of the language. This allows the reader to "taste" the language as well as learn it. But for a quick path to learning Python, I would recommend using the website's documentation.


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