Additional information
by Jeffrey J. Heys (Author)
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
Back Jacket
Chemical and Biomedical Engineering Calculations Using Python(R)
Presents standard numerical approaches for solving common mathematical problems in engineering using Python(R)Python(R) is a clear and powerful object-oriented programming language, comparable to Perl, Ruby, Scheme, and Java. The Python programming language is ideal due to its rapid growth and strong recent interest among practitioners in areas as diverse as numerical modeling, data science, and bioinformatics. Chemical and Biomedical Engineering Calculations Using Python(R) 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 Biomedical Engineering Calculations Using Python(R) features topics on:
- Programming in Python
- Common External Libraries for Engineering
- Plotting
- 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 Biomedical Engineering Calculations Using Python(R) is written to be accessible to engineering students in a numerical methods or computational methods course as well as for practicing engineers who want to learn to solve common problems using Python. Also included is an electronic download of the Python codes presented in the book.
Author Biography
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(R), and Python(R).
