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Applying Math with Python - Second Edition

You're reading from  Applying Math with Python - Second Edition

Product type Book
Published in Dec 2022
Publisher Packt
ISBN-13 9781804618370
Pages 376 pages
Edition 2nd Edition
Languages
Concepts
Author (1):
Sam Morley Sam Morley
Profile icon Sam Morley

Table of Contents (13) Chapters

Preface 1. Chapter 1: An Introduction to Basic Packages, Functions, and Concepts 2. Chapter 2: Mathematical Plotting with Matplotlib 3. Chapter 3: Calculus and Differential Equations 4. Chapter 4: Working with Randomness and Probability 5. Chapter 5: Working with Trees and Networks 6. Chapter 6: Working with Data and Statistics 7. Chapter 7: Using Regression and Forecasting 8. Chapter 8: Geometric Problems 9. Chapter 9: Finding Optimal Solutions 10. Chapter 10: Improving Your Productivity 11. Index 12. Other Books You May Enjoy

Selecting items at random

At the core of probability and randomness is the idea of selecting an item from some kind of collection. As we know, the probability of selecting an item from a collection quantifies the likelihood of that item being selected. Randomness describes the selection of items from a collection according to probabilities without any additional bias. The opposite of a random selection might be described as a deterministic selection. In general, it is very difficult to replicate a purely random process using a computer because computers and their processing are inherently deterministic. However, we can generate sequences of pseudorandom numbers that, when properly constructed, demonstrate a reasonable approximation of randomness.

In this recipe, we will select items from a collection and learn about some of the key terminology associated with probability and randomness that we will need throughout this chapter.

Getting ready

The Python Standard Library contains...

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