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Data Structures and Algorithms Made Easy: Data Structure and Algorithmic Puzzles

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Review

Reviews: goo.gl/uxjzrrI 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. -Prof, Hsin Mu Tsai

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From the Author

Objective of this book is to present the ideas for solving data-structure and algorithmic problems. I request to go through the first chapter as it describes when do we (situations) get different complexities like O(logn), O(n^2), O(loglogn), O(nlogn), O(2^n) etc..Once you understand them, remaining chapters looks easy as we refer these complexities at every place.

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Product details

Paperback: 432 pages

Publisher: CreateSpace Independent Publishing Platform; 2 edition (December 19, 2011)

Language: English

ISBN-10: 9781468108866

ISBN-13: 978-1468108866

ASIN: 1468108867

Product Dimensions:

8.5 x 1 x 11 inches

Shipping Weight: 2.7 pounds (View shipping rates and policies)

Average Customer Review:

3.8 out of 5 stars

163 customer reviews

Amazon Best Sellers Rank:

#153,989 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.

Data Structures and Algorithms Made Easy: Data Structure and Algorithmic Puzzles PDF
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Data Structures and Algorithms Made Easy: Data Structure and Algorithmic Puzzles iBooks
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Data Structures and Algorithms Made Easy: Data Structure and Algorithmic Puzzles PDF

Data Structures and Algorithms Made Easy: Data Structure and Algorithmic Puzzles PDF

Data Structures and Algorithms Made Easy: Data Structure and Algorithmic Puzzles PDF

Data Structures and Algorithms Made Easy: Data Structure and Algorithmic Puzzles PDF

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Download PDF Multitasking in the Digital Age (Synthesis Lectures on Human-Centered Informatics)By Gloria Mark

Download PDF Multitasking in the Digital Age (Synthesis Lectures on Human-Centered Informatics)By Gloria Mark

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Multitasking in the Digital Age (Synthesis Lectures on Human-Centered Informatics)By Gloria Mark

Download PDF Multitasking in the Digital Age (Synthesis Lectures on Human-Centered Informatics)By Gloria Mark

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In our digital age we can communicate, access, create, and share an abundance of information effortlessly, rapidly, and nearly ubiquitously. The consequence of having so many choices is that they compete for our attention: we continually switch our attention between different types of information while doing different types of tasks; in other words, we multitask. The activity of information workers in particular is characterized by the continual switching of attention throughout the day. In this book, empirical work is presented, based on ethnographic and sensor data collection, which reveals how multitasking affects information workers' activities, mood, and stress in real work environments. Multitasking is discussed from various perspectives: activity switching, interruptions as triggers for activity switching, email as a major source of interruptions, and the converse of distractions: focused attention. All of these factors are components of information work. This book begins by defining multitasking and describing different research approaches used in studying multitasking. It then describes how multiple factors occur to encourage multitasking in the digitally-enabled workplace: the abundance and ease of accessing information, the number of different working spheres, the workplace environment, attentional state, habit, and social norms. Empirical work is presented describing the nature of multitasking, the relationship of different types of interruptions and email with overload and stress, and patterns of attention focus. The final chapter ties these factors together and discusses challenges that information workers in our digital age face.

• Sales Rank: #2002633 in Books
• Published on: 2015-03-15
• Original language: English
• Number of items: 1
• Dimensions: 9.25" h x .27" w x 7.50" l, .46 pounds
• Binding: Paperback
• 97 pages

About the Author
Gloria Mark is a Professor in the Department of Informatics, University of California, Irvine. Her research focuses on studying the impact that digital technology has on people in real-world settings. She uses a range of sensors, biosensors, and other measures to conduct precision tracking of information workers' digital media use, focus, and mood. She received her Ph.D. in Psychology from Columbia University. She has worked at the German National Research Center for Information Technology (now Fraunhofer Institute) and has been a visiting researcher at Microsoft Research, IBM, Boeing, and The MIT Media Lab. In 2006 she received a Fulbright scholarship where she worked at the Humboldt University in Berlin, Germany. She has been the technical program chair for the premiere ACM CSCW'12, ACM CSCW'06, and ACM GROUP'05 conferences, has won and been nominated for best paper awards, and is on the editorial board of the top journals in the field of human-computer interaction: ACM TOCHI and Human-Computer Interaction. Her work has appeared in the popular press such as The New York Times, the BBC, NPR, Time, and The Wall Street Journal, and she was invited to speak at the South x Southwest (SXSW) conference.

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Ebook Download ReflectionsBy Gai Eaton

Ebook Download ReflectionsBy Gai Eaton

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ReflectionsBy Gai Eaton

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From 1978 to 1996, the late Gai Eaton gave a series of talks on BBC Radio about Islam and its role in contemporary society and this account features 86 of these talks—variously titled “Reflections,” “Words of Faith,” and “Pause for Thought.” Providing a beautifully clear and accessible introduction to Islam’s central tenets, principles, and practices, this book utilizes wisdom, humanity, and humor to teach those interested in a spiritual approach to life.

• Sales Rank: #279268 in Books
• Published on: 2013-01-01
• Original language: English
• Number of items: 1
• Dimensions: 8.43" h x .56" w x 5.51" l, .0 pounds
• Binding: Paperback
• 184 pages

About the Author

Gai Eaton was a teacher, a journalist, and a consultant for the Islamic Cultural Centre in London for more than 20 years. He was a member of the British Diplomatic Service and is the author of Islam and the Destiny of Man, King of the Castle, and Remembering God.

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