Where can I learn the algorithm for advanced graphs

8 books on data structures and algorithms for all levels

In data science, algorithms and data structures are responsible for the function and storage of data collection. Programming skills and applied mathematical knowledge are helpful in learning such structures, but there are also plenty of books for absolute newbies. Many of them focus on a very specific structure designed to facilitate learning, with the theoretical basics illustrated using practical examples and program code. Once you've internalized these basics, you can start working on algorithms.

In this article, we will introduce you to some books on algorithms and structures that are suitable for beginners, advanced or professionals.

1. "Algorithms - An Introduction" by Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, and Clifford Stein

Author: Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, and Clifford Stein

“Algorithms - An Introduction” provides a comprehensive, general overview of algorithms. As an encyclopedic reference work for modern algorithms, the book covers almost all theoretical and practical aspects on over 1,000 pages.

With a strong focus on practice, problems are presented using diagrams and evidence, algorithms are implemented and the theoretical basis of the results is analyzed. A certain basic knowledge of mathematics and data structures is required, but inquisitive readers will have a lot of fun with this work.

2. "Algorithms Unlocked" by Thomas H. Cormen

Author: Thomas H. Cormen

Thomas H. Cormen's “Algorithms Unlocked” attempts to disenchant technology and uncover its inner mechanisms. Many things that we take for granted, such as automatic route planning via GPS or the encryption of Internet connections, work with algorithms.

The book explains how computers use algorithms to solve problems and how they create many of the technologies that surround us every day. In addition to the subtleties of what computer algorithms actually are, it contains practical instructions for using algorithms to carry out simple tasks such as searching and sorting processes or graphical representations. “Algorithms Unlocked” is therefore suitable for everyone who wants to know how algorithms work in the modern world.

3. "The Algorithm Design Manual" by Steven S. Skiena

Author: Steven S. Skiena

In “The Algorithm Design Manual” you will learn how to write algorithms from scratch. The book not only deals with the theory of algorithm design, but also offers practical assistance with examples and exercises from the real world. Skiena introduces the concept of “pseudocode”, which is supposed to facilitate the introduction to various programming languages ​​for algorithms. The author covers a variety of topics related to modern algorithms, such as graph theory, algorithmic geometry and multithreading algorithms.

The book is divided into two large sections: Techniques and Resources. The first part introduces the reader to techniques for designing and analyzing algorithms. The second part highlights 75 of the most common algorithmic problems as well as implementation options in C, C ++ and Java - a wealth of resources from which the reader can draw at any time if necessary.

4. "Data Structures and Algorithms Made Easy: Data Structures and Algorithmic Puzzles" by Narasimha Karumanchi

Author: Narasimha Karumanchi

This book serves primarily as a guide for anyone who wants to prepare for exam situations - such as job interviews, exams or certification. It covers common algorithmic problems and their solutions. In addition to basic knowledge about data structures and how algorithms work, the reader is taught how to write algorithms himself.

The extensive exercise material requires knowledge of mathematics and the programming languages ​​C and C ++. With over 400 pages and 20 chapters, “Data Structures and Algorithms Made Easy” is basically a workbook for solving algorithmic problems.

5. “Understanding algorithms: learning and understanding visually with illustrations, everyday examples and Python code” by Aditya Bhargava

Author: Aditya Bhargava

This is an easy-to-understand book for programmers who want to learn more about algorithms and how to deal with common difficulties. The reader first gets to know some common, practical algorithms for searching and sorting, for example, and then works his way to more complex problems such as data compression and artificial intelligence.

The accompanying illustrations are ideal for visual learners, with the instructions explaining each process step by step. Each algorithm presented has sample code in Python. This book is not suitable for absolute beginners, but for those who already have programming knowledge, it can serve as a guide or as a refresher.

6. "Algorithms: Algorithms and Data Structures" by Robert Sedgewick and Kevin Wayne

Author: Robert Sedgewick and Kevin Wayne

“Algorithmen” - that's the simple name of this by no means simple book, which encompasses far more than the somewhat succinct title initially suggests. This extensive textbook goes into great detail about algorithms and data structures, which makes it an indispensable reference work for academic purposes. There is even an accompanying online portal with full source code examples.

The book looks at different types of data and how they are sorted and analyzed. It also sheds light on key algorithms that are useful for search, sorting, and processing tasks. Exercises, sample data, visualizations and complete Java codes are available on the accompanying website to work through. Designed for didactic use in university seminars, the work is suitable as a textbook for anyone new to the subject.

7. "Advanced Data Structures" by Peter Brass

Author: Peter Brass

"Advanced Data Structures" highlights the importance of data structures for algorithms and search optimization. As a textbook for master’s students, advanced readers and data science users, it is not aimed at newcomers, but rather addresses the more complex interrelationships of data storage in the context of data analysis.

The different data structures and their variants are dealt with in detail; data stores, queues, hash tables, search trees and much more are also discussed. Even more difficult structures such as interval trees are the subject of consideration. The chapters contain sample code in C and accompanying reference examples. This is a textbook for the subtleties of data storage - the information density and breadth is correspondingly high.

8. "Automate This: How Algorithms Came To Rule Our World" by Christopher Steiner

Author: Christopher Steiner
Website:Chris Steiner | Amazon

In contrast to most books on algorithms, "Automate This" is not a reference work or introductory manual, but rather a historical treatise on the increasingly important role that algorithms play in our everyday lives - up to and including the automation of demanding tasks that were previously done manually had to.

Algorithms now assist drivers, improve entertainment media and predict human behavior. This book embeds algorithms in an accessible form in the cultural context and thus has more of a summarizing and commentary character.

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