Books on Data Structures and Algorithms That You Can Refer To (For All Levels)

Introduction

The essential building blocks of software development are data structures and algorithms. The study of data structures and algorithms requires a great deal of critical thought and mental effort. All major IT companies, including growing startups like Zomato and Swiggy as well as many large ones like Google, Amazon, and Microsoft, have interview rounds based on data structures and algorithms. Knowing the finest resources to learn data structures and algorithms is crucial since they are crucial not only for recruiting procedures but also for the growth of a developer's problem-solving skills. Some of the top books on data structures and algorithms are the subject of this article.

Books on Data Structures and Algorithms

Here is a selection of some of the most outstanding books you may use to learn about data structures and algorithms, explore the ideas in depth, and glean as much knowledge as you can from them. There is no specific sequence in which the novels are placed (from best to lowest or vice versa). Just for varied requirements, these 10 excellent novels are all of comparable calibers.

Introduction to Algorithms - The authors of the book Introduction to Algorithms’ are Clifford Stein, Ronald L. Rivest, Charles E. Leiserson, and Thomas H. Cormen. This book is frequently referred to as the Algorithms Bible. The book contains several well-known algorithms on a wide range of subjects, including Dynamic Programming, Greedy techniques, sophisticated Graph Algorithms, Multithreaded Algorithms, and other topics. The CLRS Book on Algorithms is a well-known title for the book.

But this book isn't very user-friendly for beginners. Therefore, this book might not be the best choice for you if you are a total newcomer to the world of data structures and algorithms, but it is a really wonderful book for your future reading. Even at colleges and universities, the book comes highly recommended. Unquestionably, this is among the greatest books on algorithms.

Data Structures and Algorithms Made Easy - Narasimha Karumanchi writes the book. A well-known book on data structures and algorithms in Data Structures and Algorithms Made Easy by Narasimha Karumanchi. This book is excellent for beginners. This book is for everyone who wishes to understand data structures and algorithms in the most straightforward manner and language from the very beginning to a respectable level. 

In addition to some sophisticated and in-depth subjects like Graph Algorithms, Dynamic Programming Algorithms, Greedy Algorithms, and many more, this book covers a variety of beginner-level topics including an introduction to Data Structures and numerous data structures like Linked Lists, Stacks, and Queues. The C programming language is used to create the programs in this book.

Grokking Algorithms - Aditya Bhargava is the author of this book. You no longer need to worry if you are a Python programmer and were wondering why there isn't a book that covers data structures and algorithms in Python. The Python programming language is used to explain the principles of data structures and algorithms in this book. 

The fundamentals of topics like Greedy Algorithms, Dynamic Programming, etc. are covered in this book. The visuals and the interactive nature of the book's approach to all of the topics set it apart from other books and add to its appeal. The illustrations, which resemble hand-drawn cartoons, interact with one another to clearly communicate the complete idea.

Algorithms in a Nutshell - The authors of this book are George T. Heineman, Gary Pollice, and Stanley Selkow. One of the greatest books for Java, C, C++, and Python programmers to master data structures and algorithms is this one. All of the aforementioned programming languages are covered in the book's implementation advice (just tips; no complete code). The programs are primarily written in the C programming language. 

The explanations in this book are excellent and include thorough algorithm dry runs utilizing diagrams; UML diagrams are also frequently used to clarify ideas. Beginners and intermediate programmers alike can learn from this book. The book is structured into 4 sections, covering subjects from the most fundamental (basic algorithms for searching and sorting) to the more complex (network flow algorithms, computational geometry, etc.).

Introduction to Algorithms: A Creative Approach - Udi Manber is the author of this book. This is a book for programmers at an advanced level who are already familiar with data structures and algorithms and who want to take a deep dive into the mathematical side of algorithm creation. It is advised that novice or intermediate programmers avoid using this book since it contains a lot of mathematical information on algorithms. 

One straightforward illustration of how complex this book is is the fact that all data structures are covered in only one chapter. Based on user interest, it comes highly recommended. This book is for you if you want a thorough mathematical examination of how algorithms are created.

Conclusion

In this article, we have seen some books you can refer to on data structures and algorithms. Having said that, one thing we can advise is to read just one book at a time. Don't spend your time and money buying and reading several books, as this will just lead to further confusion and mayhem. Instead, for the best instruction and training in data structures and algorithms, opt for ed-tech platforms.  Some of the most favored forums for data structures and algorithms in the country today are provided by these e-learning platforms. Courses such as the Data Science course in  Hyderabad and Full Stack Developer Course In Hyderabad with ith 100% Job guarantee by Skillslash will give you advanced training in the domains you are seeking advice on.