This workshop gives a short overview of the Scientific Computing ecosystem in Python and what kind of problems it can be applied to.
In recent years, Python's scientific stack has emerged as a serious open source alternative to established proprietary systems likeMATLAB
or specialized solutions like R
. However, the wide range of packages and options is often confusing for inexperienced users - this talk aims to provide a remedy.
After a general introduction to the topic we will together
By the end of the workshop you will know how to get started with Scientific Computing in Python and have seen some of the major libraries in action. The Jupyter
project and the scientific distributions anaconda
are briefly presented.
Target audience: newcomers and beginners
Prerequisites: see here