Python for Scientific Computing course

This is a medium-advanced course in Python tools such as NumPy, SciPy, Matplotlib, and Pandas. It is suitable for people who know basic Python and want to know some internals and important libraries for science – basically, how a typical scientist actually uses Python.

Course content:

• Day 1: Basic tools (jupyter, numpy, pandas)
• Day 2: Still fairly basic (pandas continued, visualization, data formats)
• Day 3: More specialized tools (scripting, libraries, parallel)
• Day 4: Again more special tools (dependencies and environments, Binder, packaging)

Please visit the Aalto SciComp event page for more information and registration.