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Applying Math with Python

You're reading from   Applying Math with Python Over 70 practical recipes for solving real-world computational math problems

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Product type Paperback
Published in Dec 2022
Publisher Packt
ISBN-13 9781804618370
Length 376 pages
Edition 2nd Edition
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Concepts
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Author (1):
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Sam Morley Sam Morley
Author Profile Icon Sam Morley
Sam Morley
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Table of Contents (13) Chapters Close

Preface 1. Chapter 1: An Introduction to Basic Packages, Functions, and Concepts 2. Chapter 2: Mathematical Plotting with Matplotlib FREE CHAPTER 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

What is statistics?

Statistics is the systematic study of data using mathematical – specifically, probability – theory. There are two major aspects to statistics. The first aspect of statistics is summarizing data. This is where we find numerical values that describe a set of data, including characteristics such as the center (mean or median) and spread (standard deviation or variance) of the data. These values are called descriptive statistics. What we’re doing here is fitting a probability distribution that describes the likelihood of a particular characteristic appearing in a population. Here, a population simply means a complete set of measurements of a particular characteristic – for example, the height of every person currently alive on Earth.

The second – and arguably more important – aspect of statistics is inference. Here, we try to estimate the distribution of data describing a population by computing numerical values on a relatively...

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