Learning Objectives

• Get introduced to class and classmates

• Get familiar with syllabus and class learning tools

• Scientific Computing with Python

  • Learn the main package names and functions in the SciPy stack.
  • Learn to open a Jupyter notebook and it's basic features.
  • Learn the basics of Python, primarily the differences from Matlab (or C?)
  • Learn how to do vectorized operations with NumPy.
  • Learn to integrate a second order ODE.
  • Learn to make a plot with matplotlib.
  • Show how to make the plot interactive with Jupyter interact.
  • Learn how to create an object and its use.
  • Learn where to get help on Python.

Preparation

• Read over the syllabus and course website.
• Install the Anaconda Python 3.5 distribution on your laptop. https://www.continuum.io/downloads
• Bring your laptop to class.

Upcoming Due Dates

The first homework assignment will be due Monday September 26th.