Name: Fall in love with Julia: Graph data in Julia with Graphs.jl
Start: 2022-02-07T18:30:00+01:00
End: 2022-02-07T20:30:00+01:00

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?

The most natural way to represent generic data is with a graph. However, efficient computations on graphs can be challenging. Graphs.jl is a full fledged graph library like NetworkX for Python, similarly easy to use, but in addition Graphs.jl gives you high performance.

We are going to take an introductory look at Graphs.jl.
As usual in this series, you will get a beginner-friendly hands-on experience using a Jupyter-Notebook, with which you can try out Graphs.jl yourself and also experiment further afterwards. The material will be made available at the github repository https://github.com/schlichtanders/fall-in-love-with-julia
You do not need to prepare anything.

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
CEO of Jolin.io consultancy
www.jolin.io

JuliaPerformance is currently being rebranded to Jolin.io.

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.

stephan sahm

Julia User Group Munich

Technology

Statistical Computing

Computer Science

High Scalability Computing

Machine Learning

Physical Computing

High Performance Computing

Real Time Analytics

Data Science

Big Data

Computational Biology

Julia Programming Language

Fall in love with Julia: Graph data in Julia with Graphs.jl

Knowledge Graphs

Online event

Teilen

Julia User Group Munich

Fall in love with Julia: Graph data in Julia with Graphs.jl

Julia User Group Munich

Details

Mitglieder interessieren sich auch für