Ebook Free Data Structures and Algorithms Made Easy: Data Structures and Algorithmic Puzzles, Fifth Edition
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Data Structures and Algorithms Made Easy: Data Structures and Algorithmic Puzzles, Fifth Edition
Ebook Free Data Structures and Algorithms Made Easy: Data Structures and Algorithmic Puzzles, Fifth Edition
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Review
Reviews: goo.gl/uxjzrr I use this book for teaching "data structure and algorithm" course for freshman undergraduate students in a university. The following review is based on my experience of using the book as a textbook for the course.After teaching the course for one semester, I started to look for a textbook that could better suit my need than a conventional data structure textbook, with the following requirements:There should be lots of code examples for the students to read and learn how to implement basic data structures.The text in the book should be short and precise. As English is not our primary language, students are sometimes afraid of reading very long and detailed text in a textbook, and in that case they just avoid reading the textbook at all.The code examples should be in C, as they have not yet learned other programming languages such as java or C++.After looking through a couple of similar books on amazon.com as well as in local computer bookstores, this book is the one that I selected for my course in the following years and it satisfies all these requirements. A few things that I like about this book:Lots of figures in the book, showing how the data structure is modified and updated in a step-by-step manner. This is extremely important to a beginner - learn by examples. Visualization of a data structure is always easier to understand than the text.The problem section after each chapter listed lots of relevant questions **with solutions (code included)**. Though that means I cannot just pick the problems in the textbook as homework assignments to the students, I do believe that this would enable the students to think more about how they would utilize the data structure they just learned, and see if their thoughts match with the solution.Many problems in the problem section in each chapter take an approach that it develops the solution from the most naïve one, then a few intermediate ones, then finally the best available solution. This is one of the features that I like the most about this book. Students can gain a lot by going through this process.Overall, I would highly recommend this book to students who just started to learn about data structure and algorithm or programming in general. This book is a good supplement to a conventional data structure textbook, as it offers many good code examples and selections of relevant problems **with solutions**. There is no deep analysis or detailed proof in this book, which is not what this book is for (for example, as a textbook to teach algorithm and complexity analysis), and what you would be able to find in a conventional data structure textbook. The book could also be good for a professional who just want a quick review of important data structure concepts and implementations. -Prof, Hsin Mu TsaiReviews: goo.gl/uxjzrrThere is no fluff in this book, and it makes good use of all the trees that went into the making and printing of the pages of this book. If you want to practice solving interview type programming problems, that's what you will get here. No wasted pages.   --Ty Sid, Amazon Reviewer
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Table of Contents: goo.gl/JFMgiUSample Chapter: goo.gl/n2Hk4iFound Issue? goo.gl/forms/4Gt72YO81IVideos: goo.gl/BcHq74
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Product details
Paperback: 434 pages
Publisher: CareerMonk Plublications; 5 edition (August 28, 2016)
Language: English
ISBN-10: 819324527X
ISBN-13: 978-8193245279
Product Dimensions:
8.5 x 1 x 11 inches
Shipping Weight: 1.7 pounds (View shipping rates and policies)
Average Customer Review:
3.8 out of 5 stars
163 customer reviews
Amazon Best Sellers Rank:
#86,515 in Books (See Top 100 in Books)
Code samples, diagrams, complexity analysis, and questions! What more can you ask for? Maybe less. I was already familiar with most structures, so I was more-so reading this book as a review. Some parts like up-tree were not clear to me from the book alone. And, something about the writing style reminded me of how 99% of academia's 1,000 page textbooks are written. Once you read a few programming books that are fun (while still being able to focus on the essentials) you start having higher expectations than just covering lots of material.Most interviews obsess over data structures so you'd certainly be doing yourself a favor by reading this book.
I got this book (among others) to brush up on some CS fundamentals because I haven't been writing a lot of really complex code lately. Narasimha does a bang up job of presenting hard concepts really really well. Everything is explained in lay language and is easy to digest unlike so many other algorithms and data structures books.The other great thing is that the code is all well written and there is very little to no obfuscation or contraction. Too many technical books have either horribly written code or code that favors smallness over readability (I'm looking at you Robert Sedgewick!). Narasimha's code is well written and does not sacrifice readability for space. That is my ABSOLUTE favorite feature of this book.If I could ask for one more thing, I'd ask for some of the text in the book to become comments in the code. Especially for the larger implementations it is easy to lose track of the concepts as you read the code. Comments interleaved with the code provide a great way to reinforce the concepts. I also realize that the programmer community is somewhat divided over the value of comments but I think we can make an exception for textbook code :)
As the name of the book says, it made esay to understand algorithms.
This book has everything you need and more! The author definitely did not slouch when it came to creating one book as a go to guide. Nonetheless, if you're looking for a quick read, this is not the book for you. It's pack with tons of examples and tons of code. If you're a student, this is probably the book for you.
Wonderful book. just the introduction tells you about how helpful will be for you. I got this book to read before my introduction to Algorithm class as undergrad Computer Eng student. I was blown out by the way the author explain with clear details the different concept. I loved the examples. This book can be used as companion, what I did.I'm thankful to those who wrote helpful and truthful comment about this book, which definitely encouraged me to buy it.I recommend this book to anyone who want to understand the concept of Algorithm.
I use this book for teaching "data structure and algorithm" course for freshman undergraduate students in a university. The following review is based on my experience of using the book as a textbook for the course.After teaching the course for one semester, I started to look for a textbook that could better suit my need than a conventional data structure textbook, with the following requirements:(1) There should be lots of code examples for the students to read and learn how to implement basic data structures.(2) The text in the book should be short and precise. As English is not our primary language, students are sometimes afraid of reading very long and detailed text in a textbook, and in that case they just avoid reading the textbook at all.(3) The code examples should be in C, as they have not yet learned other programming languages such as java or C++.After looking through a couple of similar books on amazon.com as well as in local computer bookstores, this book is the one that I selected for my course in the following years and it satisfies all these requirements. A few things that I like about this book:(1) Lots of figures in the book, showing how the data structure is modified and updated in a step-by-step manner. This is extremely important to a beginner - learn by examples. Visualization of a data structure is always easier to understand than the text.(2) The problem section after each chapter listed lots of relevant questions **with solutions (code included)**. Though that means I cannot just pick the problems in the textbook as homework assignments to the students, I do believe that this would enable the students to think more about how they would utilize the data structure they just learned, and see if their thoughts match with the solution.(3) Many problems in the problem section in each chapter take an approach that it develops the solution from the most naïve one, then a few intermediate ones, then finally the best available solution. This is one of the features that I like the most about this book. Students can gain a lot by going through this process.Overall, I would highly recommend this book to students who just started to learn about data structure and algorithm or programming in general. This book is a good supplement to a conventional data structure textbook, as it offers many good code examples and selections of relevant problems **with solutions**. There is no deep analysis or detailed proof in this book, which is not what this book is for (for example, as a textbook to teach algorithm and complexity analysis), and what you would be able to find in a conventional data structure textbook. The book could also be good for a professional who just want a quick review of important data structure concepts and implementations.
I bought this book 2 weeks ago. Awesome book for complete understanding of Data structure and Algorithms for fresh grads as well as professionals to keep themselves upto the mark in today's world.
i do not have a cs background. i bought this book and read the most important sections, and i'm now employed as a software developer. it's the single greatest reason for my employment. i highly recommend it. it's perfect for beginners because often a beginner can think of a solution but not always the optimal solution. the book's style will coach you through finding better and better solutions. it's a real gem.it's true that the english and presentation is sloppy at times, but it is correct where it matters most. pay closest attention to the code, you'll be reading a lot more code than docs as a developer. i guarantee it.
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