Workshop: Introduction to Julia for Statistics and Data Science.

Back by popular demand, this two day online workshop aims to enable R users and other data scientists to incrementally incorporate Julia in their workflow. After an introduction of Julia basics, the workshop focuses on the creation of a simple, yet computationally demanding simulation example. This Julia code is then incorporated in R and Python, illustrating how users may create new performant statistical software using Julia while maintaining existing code base in R or Python. With this exploration, participants will learn not just how to use Julia, but also how to integrate Julia into their day to day statistical analysis which may involve R or Python legacy code.

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This online workshop has registration fees, and registering through Meetup will not reserve your place.

Please register via the SSA event page. For full details, instructor bio and registration: https://www.statsoc.org.au/event-4353065

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This workshop is targeted at people who have used a language like R or Python before. Julia has a growing number of statistical libraries. It is fast, easy to use, and open source. Julia aims to solve the two-language-problem (https://www.nature.com/articles/d41586-019-02310-3).

Our workshop is closely followed by the free, online, JuliaCon 2021 conference (https://juliacon.org/2021/). So, there’s a great opportunity to link up with the Julia community afterwards.