Product Description

Product Details

• Amazon Sales Rank: #6148 in Books
• Published on: 2009-10-02
• Original language: English
• Number of items: 1
• Binding: Paperback
• 1212 pages

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.

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

About the Author

Customer Reviews

Good even for experienced...
I was a programmer for 15+ years and used Perl for 8 or so of those years, so although I'm a newcomer to Python I'm definitely not a newcomer to programming or to scripting languages. When I ordered this book, I was worried that it might be too basic, but the more advanced O'Reilly Python books have not been updated to Python 2.2/2.3, so I ordered Learning Python anyhow.

And now that I've read it, I can highly recommend it even for experienced programmers. You will have to skim over basics in various chapters, but it's well-written and covers many topics, including 5-10 pages on 2.2's new-style classes, including static and class methods, instance slots, class properties, and __getattribute__.

It refers you to Python's documentation for the details of complex topics, but still gives you an idea of the concepts in play. For example, after a couple of paragraphs on instance slots, it says,

"... Slots are something of a break with Python's dynamic nature, which dictates that any name may be created by assignment. They also have additional constraints and implications that are far too complex for us to discuss here (e.g. some instances with slots may not have an attribute dictionary __dict__); see Python 2.2 release documents for details."

Which I think is a good compromise. They don't fill the book with details, but they don't simply wave their hands and give you no clue as to issues outside the scope of the book.

It is well-written and well-organized. It covers the core language well and gives a good taste for standard packages and many other tools including things like Pyrex and ctype.

(And you won't be disappointed with Python itself. A great language!)

Excellent introduction to Python
Together with "Perl: the programmer's companion", by Nigel Chapman, this is one of the best introductory book I ever read. If you already know "Programming Python", the previous book of Mark Lutz on Python, and are concerned about the possibility that this book was just another messy collection of concepts and tips, relax: this is a completely different object. "learning Python" is a well-designed, well-written and concise book. It gives you all you need to write system administration utilities, Internet-related programs and other small applications. (Should you need a book on TKinter, the standard GUI module of Python, buy "Python and TKinter programming", by John Grayson, Manning publisher).

Consider to buy this book because:

- It is clear and well written. No struggles to understand the basic concepts and having the first programs running.

- It is well-designed and well-structured. You can find the info you need in a snap.

- You get a real understanding of Python, not only a description of its nice features.

- It is concise. In a day or two you will be coding in Python.

- It is a very good guide to keep on your desk. It is the missing part of the online documentation.

- In describes how to perform the most common task with Python. You will not have to reinvent any wheel.

- It describes a few important modules of Python: JPython, TKinter and COM. You can get a feeling of what you can do with Python (but, to go further, you will have to read the online documentation and perform a few experiments by yourself).

Python is a very smart language and deserved a better book than "Programming Python". This is that book.

Not really useful
This book is not very good for actually learning Python. It also lacks a reference section and is excessively wordy.

Learning implies tutorials and a gentle progression from basic to advanced subjects; this book does neither. For example, in chapter 3, "How You Run Programs", it introduces modules and namespaces--fairly advanced concepts to read about before even the first "hello world" program! In chapter 4, as it describes the use of numbers and strings, it is already delving deep into the uses and implications of Python's objects.

With well over 500 pages, there should be plenty of room for a reference section, but there is none. There is no list of built-in classes and their methods.

The overall tone of the book is enthusiastic, touting Python's object-orientedness and other advantages. Unfortunately, it is excessively wordy and difficult to read. Cheerleading can be excused, but it is present on nearly every page and gets old quick.

In a book about programming or a programming language, one might want tutorials, reference, discussion of advanced topics, or code examples. This book provides none of these things. I do not recommend it.