3. Research Data in Python#

  • Fields and records

  • Structured data: JSON and YAML

  • Numpy: Efficient vector and matrix operations

  • Matplotlib: Plotting and animations


Total time: 2 hrs 30 minutes


Classroom exercises are grouped together at the end of the module: 3.7 Classroom Exercises. Each exercise is labelled with any sections whose contents are relevant. We recommend that instructors schedule the exercises to be done in groups during breaks in the taught content. However, it is important that participants also have some time away from their screens. Exercises can also be left as self-paced homework assignments if preferred.