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Data Structures and Algorithms Using Python, by Rance D. Necaise
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More and more programmers are turning to Python and this book will give them the understanding they need. Necaise introduces the basic array structure and explores the fundamentals of implementing and using multi-dimensional arrays. The underlying mechanisms of many of Python’s built-in data structures and constructs are covered. A number of ADTs and applications are discussed as threads throughout the book to allow for multiple implementations as new data structures are introduced. Real-world applications of the various chapter topics are also presented. This gives programmers complete coverage of abstraction and the basic data structures and algorithms in the Python language.
- Sales Rank: #1063473 in Books
- Published on: 2010-12-21
- Original language: English
- Number of items: 1
- Dimensions: 9.80" h x .80" w x 7.80" l, 1.90 pounds
- Binding: Paperback
- 540 pages
From the Back Cover
And now for something completely different…
This book is designed for a data structures and algorithms course that uses Python. A key objective is to provide a "back to basics" approach to learning data structures and algorithms without overwhelming the reader with all of the object-oriented programming terminology and concepts. To provide flexibility in topic coverage for a wide variety of courses, the author focuses on data structures and algorithms, while designing the examples to allow the introduction of object-oriented programming if so desired. The book also introduces the concept of algorithm analysis and explores the efficiency of algorithms and data structures throughout the text.
Hallmark Features
- Provides complete coverage of abstraction and the basic data structures and algorithms using a "back to basics" approach.
- Python (version 3) used to design and implement classes for abstract data types and programs and algorithms.
- Flexible organziation allows coverage of class inheritance as needed or desired.
- Introduces students to the basic array structure and the fundamentals of implementing and using multi-dimensional arrays.
- The underlying mechanism of many of Python's built-in data structures and constructs are explored in order to expose the "magic" and to evaluate their efficiency.
- Sample applications of various chapter topics are presented throughout the text to help engage students.
- A number of ADTs and applications are presented as threads throughout the text (i.e. the Set, Bag, Matrix, Sparse Matrix, and Map ADTs.) This allows for multiple implementations as new data structures are introduced, which provides the opportunity to reinforce the abstraction concept and for studying algorithm efficiency.
Most helpful customer reviews
17 of 18 people found the following review helpful.
Poorly Edited
By Aaron
The book is well written enough. The various algorithms and concepts are clearly explained and seem appropriate for an inexperienced programmer.
Unfortunately the book is severely handicapped by the complete lack of proofreading in the code examples, none of which were apparently run through an interpreter. Of the 4 or 5 code examples I tried to reproduce every one had multiple typos, variable and object names misspelt, forgetting to assign values, etc. These errors were often severe enough to mask the intent of the code and make the code very difficult to understand.
If these errors were corrected this would be a good book, as it is one is liable to expend more effort debugging the textbook than learning from it. I suspect any programmer skilled enough to debug the textbook code is already advanced enough as to not require its assistance.
Also note the book doesn't follow the official python style guide (not a huge issue, but it would be preferable to follow the industry standard).
10 of 10 people found the following review helpful.
Very well written and rigorous
By Joao B. De Lima
I have been very pleasantly surprised by this book. It is well written, informative and comprehensive. It's also rigorous; not a walk in the park by any means. All together, one of the best Data Structures and Algorithms books I've ever read.
Edit: I originally gave this book 5 stars since the content is indeed excellent. The reason for the downgrade to 4 stars is the number of little errors here and there. While it is true that most (if not all) C.S. books have a large number of typos and errors in general, I don't think we can simply overlook the problem. Also, the book doesn't have a web site where we can submit errata. I tried e-mailing the author directly but the e-mail bounced back.
6 of 6 people found the following review helpful.
A decent book, but ...
By nyceyes
As the other reviewers noted before me, this is a good book. However, it does indeed suffer from typographic and/or illustration errors. Generally speaking, a reader who is trying to learn something -- ostensibly the purpose of this book -- could unnecessarily become distracted and confused as to his or her understanding of things by way of these unnecessary errors and/or omissions.
My copy of this book, in fact, came with a sticker affixed to the inside cover of the front page that states:
Please note: During the printing process, some figures in the text were corrupted and were printed incorrectly.
Please see the errata list and corrected figures at [...]. We apologies for the inconvenience.
Fair enough but, as of this writing, that site doesn't have an Errata section at all. It does, however, have a link for you to
purchase it for a whopping $102.00 USD, and this is not even a hard-cover book.
The books author of the book, an associate professor at William and Mary college, has a website, too: [...]
There is not errata there either, unfortunately.
In this digital, where putting up an errata site is trivial, this is unacceptable... even for cheaper, though still steep
price at Amazon: $61.15
Buyer be ware.
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