Abstract

The need for more efficiency and flexibility in research and academia requires tools providing not only the basic building blocks but also access to tweaking and customisation. The Python language has grown over the last 15 years into a scientific computing ecosystem. This ecosystem allows some of the major firms on the planet to use it as the language of choice to solve their computing problems. Python is also widely used in research as an open alternative to some of the 3rd party vendor softwares. This talk will be a journey through the scientific computing stack of Python. Topics covered will go from the basics of the language to parallel computing and optimisation.