Author: Narasimha Karumanchi Website: Amazon This book functions more as a guide for brushing up on areas you will be tested on, such as in interviews or exams or certificates, and it discusses common algorithm problems and their solutions. It covers the fundamentals of data structures and how algorithms work, as well as teaching readers how to write their own. The material does require a familiarity with mathematics and C/C++ code to complete the exercises. At over 400 pages and 20 chapters, this book is essentially a workbook for solving algorithmic problems.
Data structures and algorithms are the fundamentals of software development. The study of data structures and algorithms involves a lot of thinking ability and exercise of the brain. From many big tech giants like Google, Amazon, Microsoft, etc to the new emerging startups like Zomato, Swiggy, etc, all have interview rounds based on data structures and algorithms. Since Data structures and Algorithms are so important, not just for the hiring processes but also for the development of Problem Solving Skills of a developer, it is very important to know about the best resources to study them. This discussion focuses on some of the best books on Data structures and Algorithms.
best book for algorithms for beginners
Here we have a list of some of the best books that you can use to study data structures and algorithms and go in-depth of the concepts and feel them yourself. The books are not arranged in any particular order (from best to lowest or vice versa). Think of it as 10 equal level good books, just for different needs.
About the book: This book is often said to be the bible for Algorithms. The book has a lot of famous algorithms ranging from a variety of topics like Dynamic Programming, Greedy methods, to various advanced Graph Algorithms and even Multithreaded Algorithms, algorithms related to Number Theory and what not.
However, this book is not that beginner-friendly. So, if you are a complete beginner to the world of data structures and algorithms, this book might not be the right one for you but it is a really good book for your future read. The book is highly recommended even in Colleges and Universities. This is surely one of the best books for Algorithms.
Recommendation: This book should be read after one has a good hold over basic data structures like Arrays, Strings, Linked Lists, Stacks, and Queues and when one has a fair idea (beginner level only) about algorithms.
The book: Data structures and Algorithms Made Easy, by Narsimha Karumanchi is a very famous book on Data structures and Algorithms. This book is a very beginner-friendly book. If anyone wants to learn data structures and Algorithms from the basic level to a decent level in the simplest way and language, this is the book for you. This book covers various beginner-level topics like introduction to Data structures and various data structures like Linked Lists, Stacks, and Queues along with some advanced and in-depth topics like Graph Algorithms, Dynamic Programming Algorithms, Greedy algorithms, and many more. The programs in this book are given in C Programming Language.
The Book: This book is one of the top recommendations for Java Programmers. It covers the basics of Data structures and algorithms in Java and goes up to a decent level. The book covers various topics like fundamentals and introduction to data structures and algorithms using Java to some advanced Graph Algorithms, String Matching Algorithms, Network Flow, Reductions, etc. It is one of the highest-rated books especially for Java programmers as there are limited high-quality books that provide in-depth knowledge of data structures and Algorithms and use Java for it.
The Book: This is one of the best books to learn Data Structures and Algorithms for Java, C, C++, and Python Programmers. The book has implementation tips (only tips not the entire code) for all of the above-stated programming languages. Mainly, the programs are in the C programming language. The explanations are very good with proper dry-run of the algorithms using diagrams, UML diagrams are also used in many places to explain the concepts clearly. This book can be studied by both beginners and by intermediate programmers. The book is divided into 4 parts which cover very basic topics like searching and sorting basic algorithms to advanced topics like Network flow algorithms, Computational Geometry, etc.
Recommendation: This book is recommended to beginners as well as intermediate programmers who have a good hold over programming. The concepts are explained in a crystal-clear way with a lot of dry runs of the algorithms with the help of neat and organized diagrams. Overall, a good experience for the programmers who refer to this book.
Recommendation: The book is quite advanced in its level.It is recommended that beginners or intermediate programmers should not refer to this book as it contains a lot of mathematical aspect around and about the algorithms. The fact that this book is quite advanced can be stated by a simple example that there is only 1 chapter in which all the data structures have been covered. It is highly recommended based on the user interest. If someone wants to have a deep mathematical analysis of how the algorithms are designed, this book is for you. However, this book is not recommended if you are preparing for just a coding interview.
Recommendation: This is a highly recommended book for beginners who are just starting with data structures and Algorithms after learning the Java Programming Language basics. The book will guide you through a lot of data structures and their implementation in Java along with how they are internally implemented in Java.
Recommendation: This is not a book to master data structures and algorithms, It focuses more on Python programming and data structures in Python to be precise. It can be used by beginners who are currently learning Python programming to build their foundation strong by already learning some of the basic data structures in Python apart from the Language.
The book: This is a book focused on Data Structures and even Algorithms to some extent in C++ programming Language. It starts off with the concepts of Standard Template Library (STL) in C++ and explains a lot of basic Data structures like Linked Lists, Stacks & Queues, Trees, etc along with some advanced Data structures like Multiway Tree (M-way Trees), Graphs, etc. The book also covers some basic data compression algorithms to some advanced String Matching Algorithms.
Recommendation: This book can be used by both beginners and intermediate programmers in C++. It is a good resource to learn the Standard Template Library (STL) concepts too. Again, it does not cover everything (in view of the Algorithms) like Dynamic Programming, Divide and Conquer, Greedy Strategy, etc. Hence, this book is a good resource and reference book but it is recommended not to rely on it completely as a coursebook.
Grokking Algorithms is written by Aditya Bhargava. In this tutorial book, you will learn how to apply common algorithms to the practical programming problems you face each day. You can start with tasks like sorting and searching.
It is one of the best book for algorithms that helps you to tackle more complex issues like data compression and artificial intelligence. Each presented example includes helpful diagrams and fully annotated code samples in Python. At the end of this book, you can learn about the applicable algorithms and when to use them.
Introduction to Algorithms book includes a wide range of algorithms in depth. Every chapter of this book is relatively self-contained and can be used as a study material. The algorithms are described in this book in English and pseudocode.
The book teaches you searching, sorting, graph processing, and string processing. This tutorial book includes algorithms every programmer should know. It is enabling people all around the world to discover new ways of learning and teaching.
Part 1 covers asymptotic analysis and big-O notation, divide-and-conquer algorithms, and the master method, randomized algorithms. The book ends with several famous algorithms for sorting and selection.
Hello World book is written by Hannah Fry. It is the necessary preparation for the moral difficulties of a world run by code. Hannah Fry takes us on a tour of the good, the bad, and the downright ugly of the algorithms that surround us.
The book includes descriptions of algorithms that are used and excursions for the mathematically sophisticated. This Algorithm book offers a Solutions Manual, which is available on the Online Learning Centre.
This book is designed us serve as a text for the first course on data structures and algorithms. The book also covers abstract data types and data structures, writing algorithms, and solving problems.
Algorithms, in a Nutshell, is a book written by George T. Heineman. The book helps you to create robust software that requires the use of efficient algorithms. However, programmers often think about them until a problem occurs. This book includes a large number of existing algorithms for solving a variety of issues.
I am a tenth grader. I currently learnt about sorting algorithms in java in school. I started with the book "Algorithmic Mathematics" so as learn about algorithms mathematically. I know very little calculus(just started limits) and thus, I had difficulty following it knowing that I am not mature enough to read it .Thus, I want a book that is light on calculus and has good theory on algorithms and some discrete math.
N.B.: In most universities, typically an algorithms course (where you learn about topics like greedy algorithms, dynamic programming, graph algorithms, amortized analysis, and NP-completeness, etc.) comes after a data structures course (where you learn introductory notions of algorithm analysis, basic data structures such as queues, stacks, BST/balanced BST, and DFS/BFS, etc). The way I see it, the first course is usually not needed, as its contents can easily be baked into the course on algorithm design (i.e. the second course). The textbooks I reference above are the ones typically used for the second course, although they also cover any useful material from the first course, should they be required (notably missing is advanced data structures, e.g. balanced BST). 2ff7e9595c
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