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50 Algorithms Every Programmer Should Know - Second Edition

You're reading from  50 Algorithms Every Programmer Should Know - Second Edition

Product type Book
Published in Sep 2023
Publisher Packt
ISBN-13 9781803247762
Pages 538 pages
Edition 2nd Edition
Languages
Author (1):
Imran Ahmad Imran Ahmad
Profile icon Imran Ahmad

Table of Contents (22) Chapters

Preface 1. Section 1: Fundamentals and Core Algorithms
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

Exploring abstract data types

Abstract data types (ADTs) are high-level abstractions whose behavior is defined by a set of variables and a set of related operations. ADTs define the implementation guidance of “what” needs to be expected but give the programmer freedom in “how” it will be exactly implemented. Examples are vectors, queues, and stacks. This means that two different programmers can take two different approaches to implementing an ADT, like a stack. By hiding the implementation level details and giving the user a generic, implementation-independent data structure, the use of ADTs creates algorithms that result in simpler and cleaner code. ADTs can be implemented in any programming language, such as C++, Java, and Scala. In this section, we shall implement ADTs using Python. Let’s start with vectors first.

Vector

A vector is a single-dimension structure for storing data. They are one of the most popular data structures in Python...

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