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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

Further reading

Calculus is a very important part of every undergraduate mathematics course. There are a number of excellent textbooks on calculus, including the classic textbook by Spivak and the more comprehensive course by Adams and Essex:

  • Spivak, M. (2006). Calculus. 3rd ed. Cambridge: Cambridge University Press.
  • Adams, R. and Essex, C. (2018). Calculus: A Complete Course. 9th ed. Don Mills, Ont: Pearson.

A good source for numerical differentiation and integration is the classic Numerical Recipes book, which gives a comprehensive description of how to solve many computational problems in C++, including a summary of the theory:

  • Press, W., Teukolsky, S., Vetterling, W. and Flannery, B. (2007). Numerical Recipes: The Art of Scientific Computing. 3rd ed. Cambridge: Cambridge University Press.
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