1.2. About Agenda

  • 8:59 - meeting

  • 9:00 - training day start

  • 10:20-10:30 - coffee break (10 min)

  • 11:50-12:00 - coffee break (10 min)

  • 13:15-14:00 - lunch break (45 min)

  • 15:20-15:30 - coffee break (10 min)

  • 17:00 - training day end

1.2.1. Day 1

  • 09:00 - 09:15 - Course introduction and organizational issues

  • 09:15 - 10:00 - Environment setup and configuration, virtualenv, packages, installing modules

  • 10:00 - 12:00 - Jupyter and introduction to scipy ecosystem

  • 12:00 - 13:00 - Lunch Break

  • 13:00 - 17:00 - Numpy: working with files and input, np.array

1.2.2. Day 2

  • 09:00 - 12:00 - Numpy: slice, index, np.array methods, logic operators

  • 12:00 - 13:00 - Lunch Break

  • 13:00 - 17:00 - Pandas: series, data frames, methods, indexes slicing, time series

1.2.3. Day 3

  • 09:00 - 12:00 - Pandas: methods, grouping, aggregations, plotting

  • 12:00 - 13:00 - Lunch Break

  • 13:00 - 16:00 - Matplotlib: plotting, styles, comparison with other libs

  • 16:00 - 17:00 - Short introduction to sklearn (as per request)