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Practical Discrete Mathematics

You're reading from   Practical Discrete Mathematics Discover math principles that fuel algorithms for computer science and machine learning with Python

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Product type Paperback
Published in Feb 2021
Publisher Packt
ISBN-13 9781838983147
Length 330 pages
Edition 1st Edition
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Authors (2):
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Ryan T. White Ryan T. White
Author Profile Icon Ryan T. White
Ryan T. White
Archana Tikayat Ray Archana Tikayat Ray
Author Profile Icon Archana Tikayat Ray
Archana Tikayat Ray
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Table of Contents (17) Chapters Close

Preface 1. Part I – Basic Concepts of Discrete Math
2. Chapter 1: Key Concepts, Notation, Set Theory, Relations, and Functions FREE CHAPTER 3. Chapter 2: Formal Logic and Constructing Mathematical Proofs 4. Chapter 3: Computing with Base-n Numbers 5. Chapter 4: Combinatorics Using SciPy 6. Chapter 5: Elements of Discrete Probability 7. Part II – Implementing Discrete Mathematics in Data and Computer Science
8. Chapter 6: Computational Algorithms in Linear Algebra 9. Chapter 7: Computational Requirements for Algorithms 10. Chapter 8: Storage and Feature Extraction of Graphs, Trees, and Networks 11. Chapter 9: Searching Data Structures and Finding Shortest Paths 12. Part III – Real-World Applications of Discrete Mathematics
13. Chapter 10: Regression Analysis with NumPy and Scikit-Learn 14. Chapter 11: Web Searches with PageRank 15. Chapter 12: Principal Component Analysis with Scikit-Learn 16. Other Books You May Enjoy

Hexadecimal numbers and their application

In this section, we will learn about the hexadecimal number system and its application. We use hexadecimal numbers in our day-to-day lives without realizing, such as for the MAC address of your phone or computer.

Hexadecimal numbers are base-16 numbers. They can be represented by using 10 digits (0 to 9) and 6 letters (A = 10, B = 11, C = 12, D = 13, E = 14, F = 15).

Let's look at some conversions between the decimal and hexadecimal number systems:

Figure 3.15 – Counting in hexadecimal

Just like decimal numbers, hexadecimal numbers also have place values:

(100)16 = (1 ∙ 162) + (0 ∙ 161) + (0 ∙ 160) = 256

Computer programmers use hexadecimal numbers to simplify the binary number system. We know that 24 = 16, so we know there is a linear relationship between 2 and 16, which implies that four binary digits would be equivalent to one hexadecimal digit. In other words, since...

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