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A Guide For Engineers And Scientists — Python Numerical Methods
Contents
Table of Contents
PREFACE
Acknowledgment
PART I INTRODUCTION TO PYTHON PROGRAMMING
CHAPTER 1. Python Basics
CHAPTER 2. Variables and Basic Data Structures
CHAPTER 3. Functions
CHAPTER 4. Branching Statements
CHAPTER 5. Iteration
CHAPTER 6. Recursion
CHAPTER 7. Object Oriented Programming (OOP)
CHAPTER 8. Complexity
CHAPTER 9. Representation of Numbers
CHAPTER 10. Errors, Good Programming Practices, and Debugging
CHAPTER 11. Reading and Writing Data
CHAPTER 12. Visualization and Plotting
CHAPTER 13. Parallel Your Python
PART II INTRODUCTION TO NUMERICAL METHODS
CHAPTER 14. Linear Algebra and Systems of Linear Equations
CHAPTER 15. Eigenvalues and Eigenvectors
CHAPTER 16. Least Squares Regression
CHAPTER 17. Interpolation
CHAPTER 18. Series
CHAPTER 19. Root Finding
CHAPTER 20. Numerical Differentiation
CHAPTER 21. Numerical Integration
CHAPTER 22. Ordinary Differential Equations (ODEs): Initial-Value Problems
CHAPTER 23. Ordinary Differential Equations: Boundary-Value Problems
CHAPTER 24. Fourier Transforms
CHAPTER 25. Introduction to Machine Learning
Appendix A. Getting-Started-with-Python-Windows