Review on category "Algorithms" Introduction to algorithms is a crucial topic that every programmer should be familiar with. Algorithms are sets of instructions that solve specific problems in an efficient manner. They form the foundation of computer science and are essential for solving complex problems in various fields such as finance, healthcare, and artificial intelligence. In this review, we will discuss some popular books on algorithms that can help you learn about algorithms and improve your programming skills. 1. Algorithms Illuminated: Part 1: The Basics - This book is an excellent starting point for anyone who wants to understand the basics of algorithms. It covers topics such as sorting, searching, graph traversal, and dynamic programming in a simple and easy-to-understand manner. The author uses real-world examples to illustrate how algorithms work, making it easier for readers to grasp the concepts. 2. Introduction to Algorithms and Data Structures in Swift 4 - This book is specifically designed for programmers who want to learn about algorithms and data structures using Swift. It covers topics such as arrays, linked lists, stacks, queues, trees, and graphs, along with various algorithms used on these data structures. The author also provides practical examples of how to implement these algorithms in Swift code. 3. Easy Learning Data Structures & Algorithms Java Practice - This book is an excellent resource for programmers who want to learn about algorithms and data structures using Java. It covers topics such as arrays, linked lists, stacks, queues, trees, and graphs, along with various algorithms used on these data structures. The author also provides practical examples of how to implement these algorithms in Java code. 4. Problem Solving with Algorithms and Data Structures Using Python SECOND EDITION - This book is an excellent resource for programmers who want to learn about algorithms and data structures using Python. It covers topics such as sorting, searching, graph traversal, dynamic programming, and more. The author also provides practical examples of how to implement these algorithms in Python code. 5. Cracking the Coding Interview: 189 Programming Questions and Solutions - This book is an excellent resource for programmers who want to prepare for coding interviews. It covers topics such as data structures, algorithms, design patterns, and more. The author provides practical solutions to common programming problems, making it easier for readers to understand how these problems can be solved in real-world scenarios. 6. A Common-Sense Guide to Data Structures and Algorithms: Level Up Your Core Programming Skills - This book is an excellent resource for programmers who want to improve their core programming skills. It covers topics such as arrays, linked lists, stacks, queues, trees, graphs, sorting, searching, dynamic programming, and more. The author also provides practical examples of how to implement these algorithms in various programming languages. 7. Data Structure Practice: for Collegiate Programming Contests and Education - This book is an excellent resource for programmers who want to practice their data structure skills. It covers topics such as arrays, linked lists, stacks, queues, trees, graphs, sorting, searching, dynamic programming, and more. The author also provides practical examples of how to implement these algorithms in various programming languages. 8. EECS 281: Data Structures and Algorithms – Exam Practice Workbook - This book is an excellent resource for programmers who want to prepare for exams on data structures and algorithms. It covers topics such as arrays, linked lists, stacks, queues, trees, graphs, sorting, searching, dynamic programming, and more. The author also provides practice questions and solutions to help readers understand how these concepts work. 9. Elements of Programming Interviews in Python: The Insiders' Guide - This book is an excellent resource for programmers who want to prepare for coding interviews using Python. It covers topics such as data structures, algorithms, design patterns, and more. The author also provides practical solutions to common programming problems, making it easier for readers to understand how these problems can be solved in real-world scenarios. 10. Most Important Programs for Data Structures using C++: Data Structure throught C++ - This book is an excellent resource for programmers who want to learn about data structures and algorithms using C++. It covers topics such as arrays, linked lists, stacks, queues, trees, graphs, sorting, searching, dynamic programming, and more. The author also provides practical examples of how to implement these algorithms in C++ code. In conclusion, learning about algorithms is essential for every programmer. These books provide an excellent starting point for anyone who wants to learn about algorithms and improve their programming skills.