Algorithms and data structures are what enable and store data collection in data science. Although coding and applied mathematics skills are useful in understanding these structures. There are many Data Structures & Algorithms Books available for those who are just starting out. A lot of the books concentrate on a particular framework designed to make learning easier, supporting the theory behind the topic with code and practical examples.
After mastering the fundamentals of data science, studying algorithms is a terrific next step. This is a list of some of the Best Data Structures & Algorithms Books. Examine the ideas in detail and experience them for yourself. There is no set order for the books—neither best to lowest nor vice versa. Consider them excellent works of similar quality, each serving a distinct purpose.
Famous Data Structures & Algorithms Books
1. “Introduction to Algorithms” by Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, and Clifford Stein
This one of the famous Data Structures & Algorithms Books is often referred to as the algorithmic bible. Many well-known algorithms are included in the book, covering a wide range of subjects from advanced graph algorithms to multithreaded algorithms, number theory-related algorithms, and more.
Examples of these topics include greedy approaches and dynamic programming. Although this book is not very beginner-friendly, colleges and universities strongly suggest it. With its puzzles, illustrations, proofs, and implementations, the book is practical. It requires a basic understanding of algebra and data structures. The CLRS Book on Algorithms is the well-known title of the book.
Read after gaining a solid grasp of fundamental data structures such as Linked Lists, Stacks, Queues, Arrays, and Strings; furthermore, after having a basic concept of algorithms.
Available on: Amazon, AbeBooks.
Price:
- Kindle edition: $84.99.
- Hardcover: $84.97.
2. “Data Structures and Algorithms Made Easy: Data Structures and Algorithmic Puzzles” by Narasimha Karumanchi
An approachable book for beginners that covers a wide range of topics, from an introduction to data structures and different data structures like queues, stacks, and linked lists, to more complex and advanced subjects like graph algorithms, dynamic programming algorithms, greedy algorithms, and much more.
This book serves as a reference for tests, certifications, and interviews since it contains programs written in the C programming language. It is a workbook of more than 400 pages that solves algorithmic problems; it requires some arithmetic and C/C++ knowledge. Anyone who knows programming ideas at an advanced or beginning level should read this book.
Available on: Amazon, AbeBooks.
Price:
- Kindle edition: Free with Kindle Unlimited.
- Paperback: $31.29.
3. “Algorithms” by Robert Sedgewick and Kevin Wayne
One of the best books for Java programmers is this one since it covers the fundamentals of data structures and algorithms in Java and advances to a respectable level. The book covers a wide range of subjects, including reductions, network flow, string matching algorithms, graph algorithms, and advanced algorithms utilizing Java.
It also covers the basics of data structures and algorithms. It is one of the best books, particularly for Java programmers, since there aren’t many excellent publications that cover data structures and algorithms in-depth and make use of Java.
While using this book as a resource to study the principles in-depth is advised, it is insufficient for practical application. As a useful resource for understanding DSA in Java, this book is recommended for Java programmers.
Available on: Amazon, AbeBooks.
Price:
- eBook: $54.99.
- Hardcover: $78.65.
4. “The Algorithm Design Manual” by Steve S. Skiena
This is yet another among great Data Structures & Algorithms Books, covering a great deal of code-heavy methods. Readers particularly like the section of the book where he provides instances of real-world applications of the algorithms (or variants) he describes; this makes it easier to understand the class(es) of issues that a certain method (or family of algorithms) may be applied to.
Although written in C, the code is simple to understand and not too complex. Additionally, readers who had been out of school for some time, so this let them catch up on a lot of graph algorithms rapidly. This book has been a hot favourite among readers and students.
Available on: Amazon, AbeBooks.
Price:
- eBook: $19.50.
- Hardcover: $48.18.
5. “Grokking Algorithms: An illustrated guide for programmers and other curious people” by Aditya Bhargava
Do not panic just yet if you are a Python programmer and are wondering why there isn’t a book that covers data structures and algorithms in Python. This book uses the Python programming language to explain the foundations of data structures and algorithms. Basic concepts like dynamic programming and greedy algorithms are covered.
The interactive method and visuals used throughout the book provide a unique element that ups the interest level of all the sections. Ideal for Python programmers, it starts with simple tasks like searching and sorting and works its way up to more complicated ones.
Although there are fewer subjects addressed in this coursebook than in others, each topic is well explained with interactive explanations. This may be used as a reference book, but it cannot be utilized as a comprehensive guided route as the CLRS book does.
Available on: Amazon, WorldCat.
Price:
- Audiobook: Free with Audible Premium.
- eBook: $34.99.
- Paperback: $42.47.
- Spiral-bound: $54.85.
6. “Algorithms Unlocked” by Thomas H. Cormen
The author adopts a different strategy in this book by placing more of an emphasis on demystifying the realm of algorithms. It focuses on elucidating how algorithms are used in commonplace technology to carry out diverse functions including sorting, searching, and graphing.
This makes it the perfect option for those who would prefer to learn about the real-world uses of algorithms than to delve thoroughly into their theoretical underpinnings. To help readers better comprehend difficult subjects, the author provides explanations and examples from everyday life.
The book is suited for technology lovers, inquisitive minds, and those interested in the practical applications of algorithms. It is highly recommended for those who want to acquire insights into how algorithms are employed in different technical tasks. The book is a fantastic option for a wide audience since it is understandable and doesn’t need a deep understanding of computer science.
Available on: Amazon, AbeBooks.
Price:
- Kindle edition: $21.99.
- Paperback: $25.
- Hardcover: $55.
7. “Introduction to Algorithms: A Creative Approach” by Udi Manber
This one of the Best Data Structures & Algorithms Books is intended for programmers who are proficient in data structures and algorithms and who want to delve further into the mathematical elements of algorithm creation. It is written at an advanced level. This book approaches computational problem-solving creatively, in contrast to previous algorithm books.
The book is renowned for its complex material, emphasizing the mathematical concepts above and offering a practical manual for coding interviews. It is appropriate for those who want to delve into the intricate mathematical details of algorithm creation since it covers a broad variety of subjects creatively and analytically.
Those who are new to coding or getting ready for an interview shouldn’t read this book. The book is written at a very high level. A straightforward illustration of how sophisticated this book is would be the fact that every data structure is treated in a single chapter. This book is for anybody who wants a thorough mathematical examination of the algorithms’ design.
Available on: Amazon, WorldCat.
Price: $37.99 (Paperback).
8. “Problem-solving with Algorithms and Data Structures using Python” by Bradley N. Miller and David L. Ranum
For those who are new to data structures and algorithms, the book “Problem-Solving with Algorithms and Data Structures in Python” is quite basic. Although the subjects addressed in this book are not extremely broad, they provide Python programmers with an excellent foundation in DSA and problem-solving techniques.
This book covers a variety of topics, including recursion, trees and related algorithms, and fundamental data structures like queues, stacks, and linked lists.
To be more specific, this book is more focused on Python programming and data structures. Beginners studying Python programming may use it to strengthen their foundation by understanding some of the fundamental data structures in Python outside of the language.
Available on: Amazon, Bookswagon.
Price: $30 (Paperback).
Final Notes
Although learning data structures and algorithms might be difficult, it is necessary for all software engineers and students studying computer science. Some of the greatest and most accessible resources for learning algorithms and data structures are the nine Data Structures & Algorithms Books listed above.
These books may help you advance your knowledge and abilities as a developer, regardless of your level of expertise. Selecting the book that most closely matches your learning style is crucial since each one takes a different way of presenting the ideas.
Recall that to become skilled at developing algorithms, you must practice writing them as well as study the books. To ensure that you fully comprehend the material, make sure you complete the exercises and practice problems in the books.
FAQ
Q: What is the primary objective of algorithms and data structures?
A: Algorithms provide the meaningful processing of data, whereas data structures enable the organization and storage of data. Gaining knowledge about data structures and algorithms will improve your programming. You’ll be able to build more dependable and effective code.
Q: How long does it take to learn data structures and algorithms?
A: Learning data structures and algorithms takes time depending on a number of variables, including your experience, learning style, level of dedication, and resources used. But the usual estimate is that a few weeks to several months of focused study might be required.
Q: Where is DSA applied?
A: Understanding DSA is essential for creating effective software, enhancing efficiency, and resolving intricate computational issues. It is extensively employed in many fields, such as software development, data analysis, machine learning, and artificial intelligence, and it serves as the foundation for algorithmic reasoning.