Workshop: Python for Mathematics, Science and Engineering: An Introduction to Python's Scientific Stack
Oct. 29, 2016, 3:45 p.m. - 5:00 p.m.
PyConDE 2016 / Workshop: Python for Mathematics, Science and Engineering: An Introduction to Python's Scientific Stack
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
explore a wage data set using pandas and matplotlib/seaborn to learn about the influence of age and education on income and
(if we have time) try our hands on a simple machine learning task using scikit-learn.
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 and WinPython are briefly presented.
Target audience: newcomers and beginners Prerequisites: see here
Data Scientist and Python enthusiast, enjoys to contribute to and participate in the community. Works at the Austrian Institute of Technology on data analysis and (statistical) modelling tasks.