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Python Cookbook    (ISBN: 0596001673)


 

 List Price: $39.95
 Our Price: $27.97
 Used Price: $25.69

 Release Date: 15 July, 2002
 Manufacturer: O'Reilly & Associates (Paperback)
 Sales Rank: 6,891

 Author: Alex Martelli, David Ascher









Buy This Book

Average Customer Review:


Best book in my Python library

     I really appreciate the depth and quality of the work in this book. The concept of having the Python community build a book is keeping right in line with the philosophy of the original development of Python. Thanks you Alex. Looking forward to your next book.



Perfect

     This is one of those rare books that is all meat and no fat. It is a wonderful collection of relevant and useful solutions for many programming problems that you will face, and many that you probably just figured were too hard to solve. It is clearly laid out, so finding a needed solution is easy.

One of the most powerful benefits of owning this book is astonishing amount of knowledge you can pick up by browsing it. With almost every recipe I discovered either a new approach to doing something with Python, that was far more elegant than what I would have thought of, or something that I didn't even consider was possible. It covers a vast array of important topics, from text processing, threads, object-oriented programming, and much more.

In short buy this book, grab a drink, and have a nice long sit-down session with it. You'll love every page of it.



Useful code samples, illuminating commentary, deep insights

     With this kind of book, there is a danger of just reproducing in print a set of libraries that might have been more conveniently downloaded from a code repository. The "Python Cookbook" succeeds by concentrating on those idioms and techniques that can often be woven into various programs; in addition the accompanying commentaries usually do an excellent job of leaving the reader with a better understanding of the relevant issues. The value of the book is increased further by the well-written chapter introductions, which often yield deep insights into the Python way of doing things.



 
 
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