| 09:30 | 1. Functional Programming |
What is functional programming?
What is recursion? How does functional programming manipulate data? |
| 11:00 | 2. Break | |
| 11:20 | 3. Functional Programming in Python |
How do we express the MapReduce model in a more Pythonic way?
How can we make our data processing more memory efficient? |
| 12:30 | 4. Lunch | |
| 13:30 | 5. Scientific Programming with NumPy |
What are the differences between NumPy arrays and Python lists?
How do I extract subsets of data from a dataset? How can I use NumPy to tell me basic statistical properties about my data? |
| 14:50 | 6. Break | |
| 15:10 | 7. Scientific Visualisation with Matplotlib | How can I visualise my data? |
| 16:30 | Finish |
The actual schedule may vary slightly depending on the topics and exercises chosen by the instructor.