20 Best Books on Data Structures and Algorithms for Beginners

The foundations of software development are data structures and algorithms. The study of data structures and algorithms necessitates a great deal of critical thinking and brain workout.

Many huge IT companies, such as Google, Amazon, and Microsoft, as well as young rising startups such as Linktree and StackBlitz, have interview rounds focused on data structures and algorithms.

Because data structures and algorithms are so crucial, not only for recruiting procedures but also for developing a developer’s Problem-Solving Skills, it is critical to be aware of the finest resources for studying them.

Here is a list of some of the greatest books for beginners to learn data structures and algorithms and dive in-depth into the topics and experience them for yourself.

1. Data Structures and Algorithms Made Easy

Programming is closely connected with data structures and algorithms. In Data Structures and Algorithms Made Simple, you’ll learn the fundamentals of data structures such as arrays, strings, and data trees.

But you’ll also discover how algorithms work and how to build your own from scratch. Although some of these exercises will require a mathematical background, the author makes everything simple enough for anybody to follow along.

Every exercise uses C/C++ code, so if you’re not familiar with it, this book won’t be much assistance.

However, if you’re willing to learn the principles of C++ along the way, this can be a fantastic place to start for even complete novices.

2. Grooking Algorithms

This is the book that can help a programmer deal with the real-world algorithm-related problems they come into every day.

For anyone interested in studying deep algorithms, it is a great resource. You will learn more about data compression and artificial intelligence after reading this book.

This book uses Python as its programming language. You won’t get tired reading this book since the author makes sure to explain everything in an interesting way.

The information you learn from this book will help you to solve common computer programming problems. More than 400 images in this book help to effectively clarify every data structure concept.

3. Data Structures & Algorithms In JAVA

Algorithms are a type of data organization and manipulation tool. Many engineering and computer science students find data structures to be a tough subject.

Data Structures & Algorithms not only break things down for you but also makes them very easy to understand. The book contains several illustrations of data structures and how they work.

This redesigned edition is up to date with the most recent Java JDK version. At the end of each chapter, the book includes sample programs to help you assess your understanding and skills.

The book also contains a workshop that demonstrates the steps for improved understanding.

4. Introduction to Algorithms (Eastern Economy Edition)

The book “Introduction to Algorithms” is one of the few on the market that offers comprehensive studies of all algorithms, including implementation, design, and thorough analysis with time and space complexity.

Given that algorithms are a significant component of the interview process.

This is a must-have book before starting the placement, focusing on engineering topics relating to Dynamic Programming, Greedy Algorithms, and Flow Networks.

The book also discusses the mathematical features of a problem-solving technique, and it includes many new exercises and problems for students learning Data Structures and Algorithms.

5. A Common-Sense Guide to Data Structure and Algorithms

Programmers can write faster, memory-efficient programs by having a deep grasp of data structures and algorithms.

It is the most crucial need for every software business. The reader receives both the whole learning experience from this book as well as useful information in the form of puzzles.

This book will help you develop your abilities whether you have a degree in computer science or are completely untrained. Every paragraph in this book is explained in simple English so that even a beginner can understand it.

The author of this book demonstrates how data structures and algorithms might help a self-taught programmer develop more dedication.  

6. Data Structure and Algorithms in C++

This is the book you should think about purchasing if you want to understand data structures and algorithms in the C++ programming language.

The most suggested language for DSA is C++. You can study DSA in any language since it makes it much easier for you to learn than other programming languages.

The ideas are all still the same. You will discover the theory and find solutions to real-world problems in this book.

7. Data Structure using C

You will study the general principles of data structures in this book, as well as how to put them into practice using the C programming language, which is related to C + +. To understand data structures and algorithms, pick up this book.

A useful method of studying data structures and algorithms is offered in this book.

It includes DSA MCQ questions at the end of each chapter to make learning data structures and algorithms quick and simple.

8. Algorithms and Data Structures: The Basic Toolbox

To learn data structures and algorithms, this book functions as a toolbox or a handbook. This book teaches the fundamentals of algorithms, methodologies, modeling, comprehension, and algorithmic problem-solving.

The exclusive audience for this book is brand-new DSA users. Data structures and algorithms’ fundamentals as well as all related concepts will be covered.

For DSA in this book, Java and C++ were utilized as the programming languages.

9. Algorithms in C++

This is a new edition of the book Data Structures and Algorithms. This book will appeal to you greatly.

You learn about all the principles of data structures and algorithms, as well as data structures, sorting, and searching.

You can improve your algorithmic thinking by using more than 100 sorting and searching algorithms and more than 1000 practice tasks.

You will learn DSA via programming in the C++ language.

10. Introduction to the Design and Analysis of Algorithms

You’ll discover a number of problem-solving techniques that may be used in a variety of contexts.

There are several themes covered in each chapter, as well as practical guidelines with an emphasis on problem-solving.

Each chapter includes a recap part that provides an overview of the problem, the solution, and the philosophy behind the solution.

This is essentially a puzzle book with technical solutions based on topics connected to algorithmic design. If you’re a total newbie just getting started in the bizarre world of algorithms, this book can teach you a lot.

11. Algorithms

Java programmers should definitely read this book. It starts with the fundamentals of Java’s data structures and algorithms and progresses to a passable level.

You learn searching, sorting, graph processing, and string processing from this book. Algorithms are provided in this textbook that every programmer should be familiar with.

It is enabling people all across the world to discover fresh approaches to teaching and learning.

Because there are few high-quality publications that offer an in-depth grasp of data structures and algorithms while using Java, it is one of the most highly recommended books, especially for Java programmers.

12. Algorithms in a Nutshell

For programmers in Java, C, C++, and Python, this is one of the best books for understanding data structures and algorithms.

For each of the aforementioned programming languages, the book offers implementation guidance. The majority of the programs are written in C.

The explanations are clear and include complete dry runs of the procedures using diagrams. UML diagrams are also used often to further explain concepts.

Programmers at both the beginning and intermediate levels should read this book.

13. Problem-Solving with Algorithms and Data Structures using Python

For those new to algorithms and data structures, the book “Problem-Solving with Algorithms and Data Structures in Python” is written at a very elementary level.

Despite the narrow range of subjects addressed, this book provides Python programmers with a useful introduction to DSA and problem-solving.

This book covers fundamental data structures including queues, stacks, and linked lists as well as topics like recursion, trees, and associated algorithms.

14. Introduction to Java Programming and Data Structures

Introduction to Java Programming and Data Structures, Thorough Version, as the title suggests, is a comprehensive introduction reference for fresh admits to undergraduate computer science and software engineering programs.

The book simplifies complex programming principles for novices. As novices gain confidence in the fundamentals, they go to the next level, which is data structures and algorithmic programming.

The new edition has been edited several times, resulting in a practically faultless version of the book.

The book’s primary qualities include its simplicity, conciseness of material, exercises, examples, and stunning visual presentation.

15. Data Structure and Other Objects using C++

Data Structures and Other Objects Using C++ is an excellent book about data structures. The book provides students with a solid knowledge of the fundamental ideas of data structures and object-oriented programming.

The book covers advanced subjects as well as a solid basis in data types.

The book discusses linked lists, stacks, queues, and trees, among other topics.

The book is simple to understand and adaptable in its teaching style, even for individuals who are more accustomed to another computer design language.

16. Data Structure and Algorithms

For computer scientists and programmers, the book is a fascinating discovery. Pascal is the programming language in use.

The book’s information is highly pertinent to the course subject. There are sections in the book.

The first portion mostly serves as a data structure and associated topics introduction.

The notion of algorithms is covered in the next section. Details are provided to demonstrate issues. The book has excellent images to emphasize the points stated. There are a ton of activities and test questions included as well.

17. Data Structure and Algorithms in Python

The textbook covers in-depth information on data structures. An introduction to object-oriented programming, data structures, and algorithms is the goal of the book.

Their design, execution, and analysis are all included in the book.

The book’s source codes, more than 750 exercises, and 500 graphics are a few of its standout components.

Any computer scientist should include this book in their collection of works of literature.

18. Think Data Structures

The book provides a step-by-step strategy for learning and improving your computer science and software engineering skills.

It is a short and simple book. The book shows how to use data structures, how to implement them, and how to evaluate a product’s efficiency.

The book teaches you how to utilize data structures and explains how they work, how to develop an application that properly traverses all mediums of information aka data, how search engines are constructed, how to evaluate code, and so on.

19. Data Structure and Algorithms Analysis in C++

It is a comprehensive handbook for computer scientists on how to choose and create tools that would provide the finest answers.

C++ is the major programming language utilized. This book is required reading for second-year computer science and software engineering students.

The book covers a wide range of topics within its broad scope. It also addresses challenges in the field. The book also offers several examples to help readers comprehend the material.

The book is an excellent addition to data structures literature, bringing readers up to speed on contemporary data structures and methods.

20. Hands-on Data Structure and Algorithms with Python

Hands-on Data Structures and Algorithms with Python is a book that serves as a succinct reference for all Python-related issues while also providing a concrete understanding of common algorithms.

Every computer science student will see the value of concepts like lists, stacks, and graphs after reading this book.

The book is written in a logical order, beginning with the use of binary programs and ending with code structure.

The book is required for understanding data structure analysis and design, as well as for exploring Python and learning about functionalistic data structure implementation.

Conclusion

Books are essential for gaining knowledge, but the only way to improve abilities is via continuous practice. A book can only help you learn about a topic so that you can become a self-taught coder.

One suggestion is to stick to one book at a time and not waste your money and time acquiring and reading a large number of books, since this just adds to the confusion.

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