2. Modelling Change#

One of the main goals of scientific computing is to simulate process that change with time. Last week we developed code that simulated exponential growth or decay, and this week we would like to extend this idea to model more general dynamical processes. We will need to understand how to store sequences of values, and then how to display the results graphically. This will require importing external Python libraries and a new type of loop.

What you’ll learn

  • How to import and use Python libraries

  • How to use numpy arrays

  • How to repeat code using for loops

  • How to plot graphs using matplotlib

2.1. This Week#

Before class read the notes and complete the embedded exercises.

During class work through the workshop.

After class complete and submit the homework.