Claus Aichinger - Scientific Computing with Python
You'll get 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 like MATLAB 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.
In particular, you'll learn about:
Why Scientific Computing with Python? (Motivation)
What is it the scientific stack has to offer? (Interesting packages/libraries)
Who is using it? (Companies/applications working with Python's scientific stack)
How can I start? (Scientific Python distributions)
Is it really that simple? (Yes! Showcases)