Data structure and algorithms are fundamental for all computer engineering students, computer programmers, and technology passionate people. Each of these people essentially needs to understand basic data structure and algorithms to reach a computer programming level.
The best books for data structure and algorithms available nowadays help the readers learn about elementary programming defining different coding languages. Fresher students in the CS area need these books to start their journey toward a successful programmer, whereas CS professionals need them to sharpen their basic potential.
Moreover, all these books precisely can enrich the knowledge of the Sorting Algorithm (basically quick sort + merge sort), String Algorithm, Graph Algorithm, Tree Traversal, and Greedy algorithms.
Best Books for Data Structures and Algorithms
|Book Name & Author||Image||Rating||Price|
|Grokking Algorithms: An Illustrated Guide for Programmers and Other Curious People by Aditya Bhargava||9.5||View on Amazon|
|Data Structures and Algorithms Made Easy: Data Structures and Algorithmic Puzzles by Narasimha Karumanchi||9.0||View on Amazon|
|A Common-Sense Guide to Data Structures and Algorithms: Level Up Your Core Programming Skills by Jay Wengrow||9.5||View on Amazon|
|Purely Functional Data Structures by Chris Okasaki||8.8||View on Amazon|
|Introduction to Algorithms (The MIT Press) by Thomas H. Cormen||9.3||View on Amazon|
1. Grokking Algorithms: An Illustrated Guide for Programmers
Grokking Algorithms is a fully illustrated, friendly guide that teaches you how to apply common algorithms to the practical problems you face every day as a programmer. You’ll start with sorting and searching and, as you build up your skills in thinking algorithmically, you’ll tackle more complex concerns such as data compression and artificial intelligence. Each example carefully presented includes helpful diagrams and fully annotated code samples in Python.
Learning about algorithms doesn’t have to be boring. Get a sneak peek at the fun, illustrated, and friendly examples you’ll find in Grokking Algorithms on Manning Publications’ YouTube channel.
An algorithm is nothing more than a step-by-step procedure for solving a problem. The algorithms you’ll use most often as a programmer have already been discovered, tested, and proven. If you want to understand them but refuse to slog through dense multipage proofs, this is the book for you. This fully illustrated and engaging guide makes it easy to learn how to use the most important algorithms effectively in your own programs.
Inside the Book
- Teaches you about the common algorithm help you to reaches a level for data compression and artificial intelligence.
- This book allows learning with lots of fun. It allows a continuous journey (no chance of being boring) towards Algorithm in Motion.
- Grokking Algorithm efficiently can push you to learn about core CS. The knowledge you gather from here practically can solve the common problem related to computer programming.
- It includes Python-based coding samples to describe each topic. The performance of this book is all about algorithms.
- Grokking Algorithm offers you Cover Search, Sort, and Graph Algorithms. Inside of it, more than 400 images are included to enrich the workout.
2. Data Structures and Algorithms Made Easy
This is a book that offers solutions to complex data structures and algorithms. There are multiple solutions for each problem and the book is coded in C/C++. It comes handy as an interview and exam guide for computer scientists. It can be used as a reference manual by those readers in the computer science industry. This book serves as guide to prepare for interviews, exams, and campus work. In short, this book offers solutions to various complex data structures and algorithmic problems.
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.
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 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.
Inside the Book
- Inclusion of a step-by-step modification to explain the data structure clearly. Additionally, lots of figures, easy diagrams are included with each point for an easy understanding.
- This book is perfect for beginner-level students. As all discussions explained in this book with a clear example, so any fresher can get each topic deeply inside their brain.
- It is one of the short and precise programming books. As all are not native to an American accent, a harsh and lengthy sentence is rarely could be student-friendly from another language. This textbook is exactly written emphasizing this issue.
- Freshman students have yet not learned Java or C++, so program language ‘C’ is required for them. Author of this book also has incorporated C program language that’s why.
- After each chapter, several relevant solutions (with code as well) for all problems are included at the end of this book, helping the students utilize more Data Structure.
3. A Common-Sense Guide to Data Structures and Algorithms
You can use big O notation to measure and articulate the efficiency of your code and modify your algorithm to make it faster. Find out how your choice of arrays, linked lists, and hash tables can dramatically affect the code you write. Use recursion to solve tricky problems and create algorithms that run exponentially faster than the alternatives.
Moreover, you can dig into advanced data structures such as binary trees and graphs to help scale specialized applications such as social networks and mapping software. You can even encounter a single keyword that can give your code a turbo boost. Practice your new skills with exercises in every chapter, along with detailed solutions.
Inside the Book
- Computer science students can read this book to understand well about data structure, and algorithms. This book is written in simple English; therefore, it can use as an essential coursebook for first-year University or college students worldwide.
- The new developer, who needs to learn the basics of computer programming, or coded language, can read this book. This book makes all its readers able to go with better code with enhanced computer programming knowledge.
- The power of data structure or algorithm said in this book can help the self-taught developer become more potent about scalable coding.
- Several editions have come with the 2nd edition of this book. Many sections have been rewritten, added some new sections too. From the 1st edition, it is a perfect blend books for practice & theory. Moreover, the addition of some new materials helps you learn more about on-day-to-day coding with extra knowledge of data structure & algorithms.
- Finally, every chapter of this book is full of several exercises and solutions. So, you can habituate on a hand-on-practice if you regularly follow this book seriously. In the appendix of this book, you will find a solution list, which is very helpful.
4. Purely Functional Data Structures
Most books on data structures assume an imperative language such as C or C++. However, data structures for these languages do not always translate well to functional languages such as Standard ML, Haskell, or Scheme. This book describes data structures from the point of view of functional languages, with examples, and presents design techniques that allow programmers to develop their own functional data structures.
The author includes both classical data structures, such as red-black trees and binomial queues, and a host of new data structures developed exclusively for functional languages. All source code is given in Standard ML and Haskell, and most of the programs are easily adaptable to other functional languages. This handy reference for professional programmers working with functional languages can also be used as a tutorial or for self-study.
This book is important because it presents data structures from the point of view of functional languages and is a handy reference for professional functional programmers. Most of the programs can easily be adapted to other functional languages. Even C and Java programmers should find implementing these data structures a relatively straightforward process. Programs are physically well structured and readable and are displayed in boxes.
Inside the Book
- Firstly, it will teach how data structure defines different functional languages. All related source code for Standard ML & Haskell is included here too.
- Plenty of detailed discussion about different data structures is present in this book. All programmers (functional or otherwise) need one copy of this book to well-done their computer programming job. The algorithms covered in this book, are simple to implement in your preferred language.
- It is a book of wisdom. All data and information gathered in this book can deliver you a complete survey of your academic project (relates to the topic). Once you have completed learning this book, you can satisfactorily explain every related topic to an advanced-level developer in a more precise way.
- At the advanced level of the web developer, it can sharpen the knowledge for the next level. Developer with significant experience about data structure, once read this book also know full data structure implementation allowing transactional access for the more complex data structure.
- Successfully features all functional programming, data structure, lazy evaluation, and amortization with lots of tables, and examples.
5. Introduction to Algorithms
Some books on algorithms are rigorous but incomplete; others cover masses of material but lack rigor. Introduction to Algorithms uniquely combines rigor and comprehensiveness. The book covers a broad range of algorithms in depth, yet makes their design and analysis accessible to all levels of readers. Each chapter is relatively self-contained and can be used as a unit of study. The algorithms are described in English and in a pseudocode designed to be readable by anyone who has done a little programming. The explanations have been kept elementary without sacrificing depth of coverage or mathematical rigor.
The first edition became a widely used text in universities worldwide as well as the standard reference for professionals. The second edition featured new chapters on the role of algorithms, probabilistic analysis and randomized algorithms, and linear programming. The third edition has been revised and updated throughout. It includes two completely new chapters, on van Emde Boas trees and multithreaded algorithms, substantial additions to the chapter on recurrence.
It features improved treatment of dynamic programming and greedy algorithms and a new notion of edge-based flow in the material on flow networks. Many exercises and problems have been added for this edition.
Inside the Book
- It is a lighter book (not indicating the weight!), consisting of all math through a simple solution. You can define it as a tough book with a simple explanation, and easy answer. Each chapter is easily described, with no elaborate description.
- The writer has enlightened the dynamic programming with the greedy algorithm in this introductory book. Once you read the whole book, you can know how each greedy algorithm works instead of setting them as it is.
- Teachers about CLRs code, thus literally make you worthy of passing any interviews about CS.
- Numerous figures, and tables are comprised in each chapter to enrich the explanation topics here. Overall, this book is very well informed with a comprehensive format.
- An excellent resource for CS newcomers, web developers, and programmers as well. It covers every fundamental thing about the algorithm, which helps you pass the Google interview.