07-11, 16:40–17:00 (Europe/Amsterdam), While Loop (4.2)
A minisymposium dealing with the social and technical challenges of adopting Julia in an industrial environment. Speaking out on the qualms that we -- and our colleagues -- have with the language, we can start to address the real bottlenecks. At the same time, we indubitably have much to learn from each other's experiences. It could also be a motivation for others to start to make the push for Julia in their organization.
Call for Proposals:
Have you deployed Julia in an industrial setting? Have you tried to teach your colleagues about Julia? We are keen to learn from you about the ups and downs of these experiences.
We are aiming to make this an open session with plenty of room for discussion with the goal of improving the adoption of Julia as an industrial language. This can focus both on actions we can immediately take ourselves as well as on actions that require input from the wider Julia community and/or the Julia core developers.
After obtaining my PhD in applied mathematics in 2015 and a short adventure as a postdoc, I joined Sioux Mathware as a Mathware Engineer in 2017. In that time I have done many projects solving mathematical problems for a wide variety of customers, but I have also started to focus more on the question of how the department as a whole can improve the quality of its deliverables. In this role, I have taken a keen interest in the Julia language, as it promises us to easily write software that is both legible and performant. Over the past year and a bit, this has materialized into contributing to the deployment of Julia at one of our customers. I am also busy building a cross-department Julia competence within Sioux.
