Presents standard numerical approaches for solving common mathematical problems in engineering using Python.

Covers the most common numerical calculations used by engineering students
Covers Numerical Differentiation and Integration, Initial Value Problems, Boundary Value Problems, and Partial Differential Equations
Focuses on open ended, real world problems that require students to write a short report/memo as part of the solution process
Includes an electronic download of the Python codes presented in the book

From the Back Cover

Presents standard numerical approaches for solving common mathematical problems in engineering using Python

Python is a clear and powerful object-oriented programming language, comparable to Perl, Ruby, Scheme, or Java. The Python program language is ideal due to its rapid growth and strong recent interest amongst practitioners in areas as diverse as numerical modeling, data science, and bioinformatics. Chemical and Biological Engineering Calculations Using Python presents standard numerical approaches for solving common mathematical problems in engineering.

The book covers the most common engineering calculations used by students and utilizes the freely available Python software and its supporting libraries. Chemical and Biological Engineering Calculations Using Python features topics on:

Programming in Python

Descriptionting
Symbolic Mathematics
Linear Systems
Regression
Nonlinear Equations
Statistics
Numerical Differentiation and Integration
Initial Value Problems
Boundary Value Problems
Partial Differential Equations
Finite Element Method

Chemical and Biological Engineering Calculations Using Python is written to be accessible to engineering students in a numerical methods or computational methods course as well as for practicing engineers that want to learn to solve common problems using Python. Also included is an electronic download of the Python codes presented in the book.

Jeffrey J. Heys is currently the department head in Chemical and Biological Engineering at Montana State University. He has taught numerous courses in Chemical and Biological Engineering for 15 years. He also taught courses in Applied Mathematics at the University of Colorado at Boulder, including Numerical Analysis, for three years. Jeff has been creating mathematical models of biological systems for approximately 20 years, published more than 40 peer reviewed papers, and has programmed extensively in FORTRAN, C, C++, MATLAB, and Python.