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Dancing with Python

You're reading from   Dancing with Python Learn to code with Python and Quantum Computing

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Product type Paperback
Published in Aug 2021
Publisher Packt
ISBN-13 9781801077859
Length 744 pages
Edition 1st Edition
Languages
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Author (1):
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Robert S. Sutor Robert S. Sutor
Author Profile Icon Robert S. Sutor
Robert S. Sutor
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Table of Contents (29) Chapters Close

Preface 1. Chapter 1: Doing the Things That Coders Do 2. Part I: Getting to Know Python FREE CHAPTER
3. Chapter 2: Working with Expressions 4. Chapter 3: Collecting Things Together 5. Chapter 4: Stringing You Along 6. Chapter 5: Computing and Calculating 7. Chapter 6: Defining and Using Functions 8. Chapter 7: Organizing Objects into Classes 9. Chapter 8: Working with Files 10. PART II: Algorithms and Circuits
11. Chapter 9: Understanding Gates and Circuits 12. Chapter 10: Optimizing and Testing Your Code 13. Chapter 11: Searching for the Quantum Improvement 14. PART III: Advanced Features and Libraries
15. Chapter 12: Searching and Changing Text 16. Chapter 13: Creating Plots and Charts 17. Chapter 14: Analyzing Data 18. Chapter 15: Learning, Briefly 19. References
20. Other Books You May Enjoy
21. Index
Appendices
1. Appendix A: Tools 2. Appendix B: Staying Current 3. Appendix C: The Complete UniPoly Class
4. Appendix D: The Complete Guitar Class Hierarchy
5. Appendix E: Notices 6. Appendix F: Production Notes

15.3 Feature scaling

Since we now have dimensions, it makes sense that geometry will enter the picture. If I have two points in the Cartesian plane, v = (v1, v2) and w = (w1, w2), then the Euclidean distance, or simply distance, between them is

Distance formula in two dimensions

For example, the distance between (-3, -1) and (2, 1.5) is approximately 5.6. Note the double bars around the difference of the points.

Distance between two points in the plane

In words, we say that the distance between any two points is the square root of the sum of the squares of the differences between corresponding coordinates. In three dimensions, the distance formula is

Distance formula in three dimensions

for points (v1, v2, v3) and (w1, w2, w3). Note the convention of using a bold italic font for the point when it has two or more dimensions: v = (v1, v2, v3).

These are generalizations of the formula for the distance between two numbers, v and w, on a line, which...

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