Scientific Programming with Python
June 22 - 26, 2020
UZH Campus Irchel
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
A large part of everyday's work of many scientists today is spent on programming, debugging and maintaining software. Although there are tools and procedures to do this in an efficient way, many scientists have never experienced a thorough instruction in these techniques. Writing code is for them only an auxiliary field in their work. Therefore they spend a significant time on writing deficient code and reinventing the wheel. But ultimately scientists should do science and not spend most of their time with software engineering tasks...
This course will teach a selection of important programming techniques and incorporates theoretical lectures followed by practical exercises where the discussed techniques can be applied and tried out.
We use Python as programming language through the entire course. Python is easy to learn and popular among scientists. Over the last couple of years high-quality programming libraries tailored for scientific computing and data analysis have been developed.
Information Concerning Covid-19: Due to the restrictions related to Covid-19 we will have the course fully online. Participants should have received a mail with more detailed explanations on 2020-06-08.
|Nicola Chiapolini||10-G-27 (044 63) 54026 / firstname.lastname@example.org|