Recommended Books of Data Structures
In this post, we will see a list of some famous books on formal methods in software engineering and Computer Science.
| S.NO | Book Name | Author Name |
| 1 | Data Structures and Algorithms: An Easy Introduction | Rudolph Russell |
| 2 | A Common-Sense Guide to Data Structures and Algorithms: Level Up Your Core Programming Skills | Jay Wengrow |
| 3 | Data Structures and Algorithms Made Easy: Data Structures and Algorithmic Puzzles, Fifth Edition | Narasimha Karumanchi |
| 4 | Data Structures and Algorithms in Java (2nd Edition) | Robert Lafore |
| 5 | Problem-Solving with Algorithms and Data Structures Using Python SECOND EDITION | Bradley N. Miller and David L. Ranum |
| 6 | Introduction to Algorithms, 3rd Edition (The MIT Press) | Thomas H. Cormen and Charles E. Leiserson |
| 7 | Computer Science Distilled: Learn the Art of Solving Computational Problems | Wladston Ferreira Filho and Raimondo Pictet |
| 8 | Cracking the Coding Interview: 189 Programming Questions and Solutions | Gayle Laakmann McDowell |
| 9 | Grokking Algorithms: An illustrated guide for programmers and other curious people | Aditya Bhargava |
| 10 | Data Structures: Abstraction and Design Using Java | Elliot B. Koffman and Paul A. T. Wolfgang |
| 11 | Data Structures and Algorithms in Python | Michael T. Goodrich and Roberto Tamassia |
| 14 | Advanced Data Structures | Peter Brass |
| 15 | Data Structures and Abstractions with Java (4th Edition) | Frank M. Carrano and Timothy M. Henry |
| 16 | Data Structures and Algorithms in Java | Michael T. Goodrich and Roberto Tamassia |
| 17 | Complex Network Analysis in Python: Recognize – Construct – Visualize – Analyze – Interpret | Dmitry Zinoviev |
| 19 | Data Science Essentials in Python: Collect – Organize – Explore – Predict – Value (The Pragmatic Programmers) | Dmitry Zinoviev |
| 20 | Data Structures and Algorithms in Java | Michael T. Goodrich and Roberto Tamassia |
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I welcome to all of you if you want to discuss about any topic. Researchers, teachers and students are allowed to use the content for non commercial offline purpose. Further, You must use the reference of the website, if you want to use the partial content for research purpose.
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