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Python Programming and Numerical Methods

A Guide for Engineers and Scientists
 
Publisher: Academic Press
Date of Publication:
 
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Long description:
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.


  • Includes tips, warnings and "try this" features within each chapter to help the reader develop good programming practice
  • Summaries at the end of each chapter allow for quick access to important information
  • Includes code in Jupyter notebook format that can be directly run online
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