How can I efficiently test if my code does what it should do? How can I improve the performance of my code? What are ways to improve the development of code in a collaborative environment? How can I handle my data in an easy way? Is it possible to run existing C++ code in Python? If you come across these or similar questions in your daily work as a scientist, you will very likely profit from this course.
Date: Monday, June 24, 2019 - Friday, June 28, 2019
Location: Y36-K-08 (UZH Campus Irchel)
To provide an optimal experience for everybody, the number of participants is limited. If you are interested to participate in this course, please apply via the corresponding form.
The closing date for applications is Sunday, March 31, 2019.
No participation fee has to be paid.