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Data Structures and Algorithms in Python, by Michael T. Goodrich, Roberto Tamassia, Michael H. Goldwasser
PDF Download Data Structures and Algorithms in Python, by Michael T. Goodrich, Roberto Tamassia, Michael H. Goldwasser
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Based on the authors’ market leading data structures books in Java and C++, this�book offers a comprehensive, definitive introduction to data structures in Python by authoritative authors. Data Structures and Algorithms in Python is the first authoritative object-oriented book available for Python data structures. Designed to provide a comprehensive introduction to data structures and algorithms, including their design, analysis, and implementation, the text will maintain the same general structure as Data Structures and Algorithms in Java and Data Structures and Algorithms in C++.
- Begins by discussing Python’s conceptually simple syntax, which allows for a greater focus on concepts.
- Employs a consistent object-oriented viewpoint throughout the text.
- Presents each data structure using ADTs and their respective implementations and introduces important design patterns as a means to organize those implementations into classes, methods, and objects.
- Provides a thorough discussion on the analysis and design of fundamental data structures.
- Includes many helpful Python code examples, with source code provided on the website.
- Uses illustrations to present data structures and algorithms, as well as their analysis, in a clear, visual manner.
- Provides hundreds of exercises that promote creativity, help readers learn how to think like programmers, and reinforce important concepts.
- Contains many Python-code and pseudo-code fragments, and hundreds of exercises, which are divided into roughly 40% reinforcement exercises, 40% creativity exercises, and 20% programming projects.
- Sales Rank: #566514 in Books
- Brand: Brand: Wiley
- Published on: 2013-03-18
- Original language: English
- Number of items: 1
- Dimensions: 9.20" h x 1.20" w x 7.70" l, 2.80 pounds
- Binding: Hardcover
- 748 pages
- Used Book in Good Condition
Most helpful customer reviews
27 of 27 people found the following review helpful.
Disgustingly overpriced
By Mo
The book covers all the basic data structures and algorithms covered in a second year course in my country (Norway), the code examples are also good. What is not good is the price. The material in this book is not worth over 175 USD. For less than 30 dollars you can buy Lambert's "Fundamentals of Python: Data Structures" which covers the same material and also has full code implementations. For 60 USD you can buy Sedgewick's "Algorithms" which is one of the best books on algorithms and data structures, and which has full code implementations and visuals to trace the code. It's also far more in depth than this book.
This book is nothing special and I just don't understand how publishers have the heart to set these disgusting prices ripping off poor students. I am giving this book a 3-star rating not only because of the content but also because of the price. Some people say this is not right, that only the content should be reviewed. I disagree. When you pay prices that are morbidly inflated, then you should get something more than your average data structures and algorithms book written in black and white. I'm not gonna give a Toyota Prius a 5-star rating if it cost me as much as a Ferrari even though it's a decent car. Stay away from this book. Teach the publishers a lesson. There's just as good and better books for much much less.
9 of 9 people found the following review helpful.
Great explanation and examples
By Flavio Diez
If you want to go deeper into data structures and algorithms whilst at the same time using python as your programming language, than this book is all you need.
There are many examples that follow the explanations to each of the most important (as well of the minor ones) data structures or algorithms. This makes it easy to understand the concepts and to apply them.
The authors often offer alternatives to the algorithms such as a in-place alternative to a algorithm that uses a help array. They also show the content in such a way that, whenever possible and appropriate, they build on top of previously presented topics, also making it easy to augment the knowledge you previously acquired.
Recommend for students or for someone preparing to a programming interview.
2 of 2 people found the following review helpful.
Must-Have Reference for Casual (and Serious) Python Users
By Cory Amanda
Because you can get up and running in Python fairly quickly, it's easy to think that you have a full grasp of the language. I thought I did, but after about 10 pages into this book I realized how much I didn't know. The writing is clear and consistent, and the examples are good. There are better books for the complete newbie, but this is a really good "Python 201" reference. I'm honestly reading it cover to cover.
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