Fall in love with Julia: Hands-on Differential Equations

We stay on Monday's - the first normal Monday every second month, 12.April, 07.June, ....

Hi all, this introductory series is for you:

• you do Data Science in R, Python, Matlab, Fortran, or whatever?
• you heard about Julia and would like to get to know its simplicity and power?
• you like it high-level and high-performant?

In this 1.5h session we will look into DifferentialEquations.jl, which is probably the best state-of-the-art differential equations suite out there right now. It also comes with wrappers for Python and R. You can model, simulate and reason about systems in physics, chemistry or biology, and more.

As usual in this series, you will get a beginner-friendly hands-on experience using jupyter-notebook, with which you can try out the tools yourself and also experiment further afterwards. The material will be made available at this github repository https://github.com/schlichtanders/fall-in-love-with-julia

Looking forward to see you all!
Spread the news and invite everyone you know to not miss this Julia 101!
It is going to be online, so everyone from everywhere is welcome.

yours,
Stephan Sahm

P.S.: The link to the online tool will be made available 10 min before the actual start. Please join 5 min ahead, the session is going to start on-time, 19:00.