Python for Engineering and Scientific Computing

In this book, you'll learn about:

1. Python for Scientists

   You already know how to solve problems in your field. In this guide you’ll find the tools you need to map your existing calculations with Python.

2. Python Modules

   Learn how NumPy, SymPy, SciPy, Matplotlib, and VPython can help you with your scientific work. From solving linear equations and creating animations to using discrete Fourier transformations to reconstruct a noisy signal, you’ll find the practical advice you need.

3. Python in Action

   Start simple by sizing a shaft and then move on to increasingly advanced exercises: animating a pendulum, simulating a rolling element bearing defect, creating a predator-prey model, and more. For every exercise, review the complete source code, with extensive comments, and analyze the output.