Scientific Computing with Python
MCNAcourses ▸ NUMA01/ ÄMAD01 – summer 2018

Getting Started

It is preferable that you get python with it's scientific libraries installed on your home computer. You will find some help for the installation on our python page. You will also find there some material and links on python for scientific computing.

Training

The training exercises are directly after the lectures and serve to experiment with the material taught so far. The training exercises are supervised. You will use preferably your own Laptops (Linux, Windows, Mac OS). Alternatively you can work with the department's computers (Linux/Windows).

DateTraining

Homework

Mandatory homeworks are done in groups of maximum two people and presented for evaluation and grading during an exercise session.

Upload your homework file by using this link.