Fall in love with Julia: Accelerating Python

Hi all, this introductory series is for you:

• you do Data Science in R, Python, Matlab, Fortran, etc.?
• you like it high-level and high-performant?

Fall in love with Julia: Accelerating Python
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Using Julia from Python or Python from Julia.

On the one hand you can achieve accelerations like rewriting parts in C++, just much simpler. We will take a look at one concrete benchmark example. On the other hand you can reuse Python's existing super large package ecosystem within Julia.

As usual in this series, you will get a beginner-friendly hands-on experience using a Jupyter-Notebook, with which you can try the Python/Julia interaction yourself. The material will be made available at the github repository https://github.com/jolin-io/fall-in-love-with-julia
You do not need to prepare anything.

Looking forward to see you all!
Spread the news and invite everyone to this Julia 101!
It is going to be online, so everyone from everywhere is welcome.

yours,
Stephan Sahm
Founder of Jolin.io consultancy

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, 18:30 CET.