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50 Algorithms Every Programmer Should Know

You're reading from   50 Algorithms Every Programmer Should Know Tackle computer science challenges with classic to modern algorithms in machine learning, software design, data systems, and cryptography

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Product type Paperback
Published in Sep 2023
Publisher Packt
ISBN-13 9781803247762
Length 538 pages
Edition 2nd 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 (22) Chapters Close

Preface 1. Section 1: Fundamentals and Core Algorithms FREE CHAPTER
2. Overview of Algorithms 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. Understanding Sequential Models 13. Advanced Sequential Modeling Algorithms 14. Section 3: Advanced Topics
15. Recommendation Engines 16. Algorithmic Strategies for Data Handling 17. Cryptography 18. Large-Scale Algorithms 19. Practical Considerations 20. Other Books You May Enjoy
21. Index

Other Books You May Enjoy

If you enjoyed this book, you may be interested in these other books by Packt:

Hands-On Data Structures and Algorithms with Python – Third Edition

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ISBN: 9781801073448

  • Understand common data structures and algorithms using examples, diagrams, and exercises
  • Explore how more complex structures, such as priority queues and heaps, can benefit your code
  • Implement searching, sorting, and selection algorithms on number and string sequences
  • Become confident with key string-matching algorithms
  • Understand algorithmic paradigms and apply dynamic programming techniques
  • Use asymptotic notation to analyze algorithm performance with regard to time and space complexities
  • Write powerful, robust code using the latest features of Python

Functional Python Programming – Third Edition

Steven F. Lott

ISBN: 9781803232577

  • Use Python’s libraries to avoid the complexities of state-changing classes
  • Leverage built-in higher-order functions to avoid rewriting common algorithms
  • Write generator functions to create lazy processing
  • Design and implement decorators for functional composition
  • Make use of Python type annotations to describe parameters and results of functions
  • Apply functional programming to concurrency and web services
  • Explore the PyMonad library for stateful simulations

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