Python programming and numerical methods: a guide for engineers and scientists

Table of contents
PART 1 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 7 Object-Oriented Programming 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 Parallelize Your Python
PART 2 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 Taylor Series
CHAPTER 19 Root Finding
CHAPTER 20 Numerical Differentiation
CHAPTER 21 Numerical Integration
CHAPTER 22 Ordinary Differential Equations (ODEs) Initial-Value Problems
CHAPTER 23 Boundary-Value Problems for Ordinary Differential Equations (ODEs)
CHAPTER 24 Fourier Transform

Python Programming and Numerical Methods: A Guide for Engineers and Scientists introduces programming tools and numerical methods to engineering and science students, with the goal of helping the students to develop good computational problem-solving techniques through the use of numerical methods and the Python programming language. Part One introduces fundamental programming concepts, using simple examples to put new concepts quickly into practice. Part Two covers the fundamentals of algorithms and numerical analysis at a level that allows students to quickly apply results in practical settings.

https://www.elsevier.com/books/python-programming-and-numerical-methods/kong/978-0-12-819549-9