This week’s exercises introduce Python and Numpy, along with a first hands-on experience in data collection. As only one camera is available, add your group name to the queue on the blackboard, to avoid waiting. If data collection is not completed this week, there will be opportunities to do so in the following weeks.

Learning goals

After this week's exercises, you should be able to:

  • Implement elementary linear algebra operations (inner product, length, distance between vectors, angle between vectors) in Python using both built-in types and Numpy.
  • Create and manipulate Numpy arrays (indexing, broadcasting),
  • Calculate the Euclidean distance in n-dimensional spaces and explain its relation to the inner product.
  • Done data collection.
  • Notice that this week contains a mandatory exercise (look for the star in the header of each task, as shown below)