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40 Algorithms Every Programmer Should Know

You're reading from   40 Algorithms Every Programmer Should Know Hone your problem-solving skills by learning different algorithms and their implementation in Python

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Product type Paperback
Published in Jun 2020
Publisher Packt
ISBN-13 9781789801217
Length 382 pages
Edition 1st Edition
Languages
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Author (1):
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Imran Ahmad Imran Ahmad
Author Profile Icon Imran Ahmad
Imran Ahmad
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Toc

Table of Contents (19) Chapters Close

Preface 1. Section 1: Fundamentals and Core Algorithms
2. Overview of Algorithms FREE CHAPTER 3. Data Structures Used in Algorithms 4. Sorting and Searching Algorithms 5. Designing Algorithms 6. Graph Algorithms 7. Section 2: Machine Learning Algorithms
8. Unsupervised Machine Learning Algorithms 9. Traditional Supervised Learning Algorithms 10. Neural Network Algorithms 11. Algorithms for Natural Language Processing 12. Recommendation Engines 13. Section 3: Advanced Topics
14. Data Algorithms 15. Cryptography 16. Large-Scale Algorithms 17. Practical Considerations 18. Other Books You May Enjoy

Graph Algorithms

There is a class of computational problems that can be best represented in terms of graphs. Such problems can be solved using a class of algorithms called graph algorithms. For example, graph algorithms can be used to efficiently search a value in a graphical representation of data. To work efficiently, these algorithms will first need to discover the structure of the graph. They also need to find the right strategy for following the edges of the graph to read the data stored in the vertices. As graph algorithms need to search values in order to work, efficient searching strategies lie at the center of designing efficient graph algorithms. Using graph algorithms is one of the most efficient ways of searching for information in complex, interconnected data structures that are linked through meaningful relationships. In today's era of big data, social...

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