Reviews
As a first-year computer-science student, I found this easy and enjoyable to read before starting my major courses. It gives you general ideas.
It has a lot of useful content for studying algorithms, and I find it very enjoyable. I really like it.
I highly recommend this to non-majors and people just starting coding-test preparation. Its biggest strength is explaining principles with pictures. I had only skimmed algorithm descriptions while solving coding-test problems; seeing them illustrated made them much easier to understand and remember. I kept nodding along: “Oh, so that’s how it works!” The book is thin and light, so it is easy to read anywhere.
Review of Understanding Algorithms Through Pictures (Let’s get started with algorithms and data structures in an easy, fun way!), by Moriteru Ishida and Shuichi Miyazaki, translated by Lee Dong-gyu, Gilbut. I saw Gilbut IT’s call for its 25th developer reviewer group on Facebook. The assignment was to choose one of several recent technical books, read it, and write a review. I chose this title because I think algorithms and data structures distinguish a programmer from someone who merely codes.
One strength is that it covers essential topics—data structures, sorting, searching, and graphs—as well as security algorithms such as hash functions and public-key cryptography, and compression methods such as run-length and Huffman coding. Studying them gave me a better sense of how familiar computer-science concepts work. Second, it focuses on core algorithms and explains them through concise illustrations, so the book is fairly slim at 264 pages. Thick first books can slow your progress and
Gilbut has published a new introductory book on algorithms and data structures, Understanding Algorithms Through Pictures, by Japanese engineer Moriteru Ishida and professor Shuichi Miyazaki. Depending on your IT specialty, you may not need to study these subjects, but they are an essential gateway for people pursuing IT professionally, especially job seekers facing more data-structure and algorithm tests. I often hear that a strong foundation helps your practical skills shine; neglecting it
I have studied algorithms while working in IT, earning an information-processing certificate, and studying computer science. I’m interested in algorithms, but I often struggle to grasp their principles. Pictures might make complex ideas easier to understand. That does not mean algorithms themselves are easy; even the same principle is easier to grasp with a concise illustration than a long, complicated explanation. The book explains how 33 algorithms and seven data structures work. I’m a
I first encountered algorithms and data structures in an English university textbook. Since I struggled with English, I relied on my professor’s explanations, but the limits of class left me unsatisfied. I graduated and did well at work, but an algorithms test at my company made it clear I couldn’t keep ignoring the subject. I understand things better when I can see them, so I liked the title Understanding Algorithms Through Pictures right away. Verbal explanations alone are hard for me,
Ishida Moriteru et al.: Algorithms Understood Through Pictures
Algorithms can differ even when they achieve the same goal. Some run quickly but use a lot of memory; others take longer but use less. Knowing different algorithms gives you more choices when programming. To run an algorithm efficiently, you need an appropriate data structure. Choosing the best algorithm and data structure for each situation is one condition for becoming a good programmer. This book is based on the Algorithm Visualizer app. The app explains how algorithms work with animation, and this book uses ample illustrations to make them just as easy to understand. It also adds fundamentals needed before studying algorithms that are not in the app, such as what an algorithm is, computation time, and graph basics. The second revised edition adds data compression, which was absent from the first edition and the app, as well as graph problems such as minimum spanning trees and matching, and string matching.
Korean title: 그림으로 이해하는 알고리즘
Korean author: 이시다 모리테루 외
Korean publisher: 길벗
ISBN-13: 9791140709403
Reviews
As a first-year computer-science student, I found this easy and enjoyable to read before starting my major courses. It gives you general ideas.
It has a lot of useful content for studying algorithms, and I find it very enjoyable. I really like it.
I highly recommend this to non-majors and people just starting coding-test preparation. Its biggest strength is explaining principles with pictures. I had only skimmed algorithm descriptions while solving coding-test problems; seeing them illustrated made them much easier to understand and remember. I kept nodding along: “Oh, so that’s how it works!” The book is thin and light, so it is easy to read anywhere.
Review of Understanding Algorithms Through Pictures (Let’s get started with algorithms and data structures in an easy, fun way!), by Moriteru Ishida and Shuichi Miyazaki, translated by Lee Dong-gyu, Gilbut. I saw Gilbut IT’s call for its 25th developer reviewer group on Facebook. The assignment was to choose one of several recent technical books, read it, and write a review. I chose this title because I think algorithms and data structures distinguish a programmer from someone who merely codes.
One strength is that it covers essential topics—data structures, sorting, searching, and graphs—as well as security algorithms such as hash functions and public-key cryptography, and compression methods such as run-length and Huffman coding. Studying them gave me a better sense of how familiar computer-science concepts work. Second, it focuses on core algorithms and explains them through concise illustrations, so the book is fairly slim at 264 pages. Thick first books can slow your progress and
Gilbut has published a new introductory book on algorithms and data structures, Understanding Algorithms Through Pictures, by Japanese engineer Moriteru Ishida and professor Shuichi Miyazaki. Depending on your IT specialty, you may not need to study these subjects, but they are an essential gateway for people pursuing IT professionally, especially job seekers facing more data-structure and algorithm tests. I often hear that a strong foundation helps your practical skills shine; neglecting it
I have studied algorithms while working in IT, earning an information-processing certificate, and studying computer science. I’m interested in algorithms, but I often struggle to grasp their principles. Pictures might make complex ideas easier to understand. That does not mean algorithms themselves are easy; even the same principle is easier to grasp with a concise illustration than a long, complicated explanation. The book explains how 33 algorithms and seven data structures work. I’m a
I first encountered algorithms and data structures in an English university textbook. Since I struggled with English, I relied on my professor’s explanations, but the limits of class left me unsatisfied. I graduated and did well at work, but an algorithms test at my company made it clear I couldn’t keep ignoring the subject. I understand things better when I can see them, so I liked the title Understanding Algorithms Through Pictures right away. Verbal explanations alone are hard for me,
