This session has moved to Zoom. Please join with Zoom ID: 6376486897 at 2PM Israel time. 

This (Hebrew language) workshop provides an introduction to the Julia language for machine learning engineers, data-scientists, and statisticians. Attendees will gain a solid entry point for using Julia as their preferred data analysis tool.

This Juliacon 2022 workshop in Hebrew (עברית) is aimed at data-scientists, machine learning engineers, and statisticians that have experience with a language like Python or R, but have not used Julia previously. In learning to use Julia, a contemporary "stats based" approach is taken focusing on short scripts that achieve concrete goals. This is similar to the approach of the [Statistics with Julia book](https://statisticswithjulia.org/). 

The primary focus is on statistical applications and packages. The Julia language is covered as a by-product of the applications. Thus, this workshop is much more of a how to use Julia for stats course than a how to program in Julia course. This approach may be suitable for statisticians and data-scientists that tend to do their day-to-day scripting with a data and model based approach - as opposed to a software development approach.

An extensive Jupyter notebook for the workshop together with data files is [here](https://github.com/yoninazarathy/StatisticsWithJuliaFromTheGroundUp-2022). You can install it to follow along. The Jupyter notebook is not in Hebrew. 

If you don't already have Julia with IJulia (Jupyter) installed, you can follow the instructions in [this video](https://www.youtube.com/watch?v=KJleqSITuRo). It is recommended that you have Julia 1.7.3 or higher installed.

Green

Yoni Nazarathy

Introduction to Julia with a focus on statistics (in Hebrew)

Makie.jl is a Julia-native interactive data visualization library. In this workshop, participants will learn how to create complex interactive and static plots, using the full range of tools Makie has to offer. Topics could include writing custom recipes, understanding the scene graph, mastering the layout system, handling complex observable structures and tweaking visual styles. The workshop will also be an opportunity to learn about the architecture and underlying ideas of Makie.

The participants will follow along while different small interactive visualization projects are coded live, showing how to go from idea to implementation.

Conference Agenda

Introduction to Julia with a focus on statistics (in Hebrew)

Interactive data visualizations with Makie.jl

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