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]([ Ссылка ]).

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 ([ Ссылка ]). 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 ([ Ссылка ]). It is recommended that you have Julia 1.7.3 or higher installed.

For more info on the Julia Programming Language, follow us on Twitter: [ Ссылка ] and consider sponsoring us on GitHub: [ Ссылка ]

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