Please log in to watch this conference skillscast.
Julia was originally seen as a replacement for programming languages such as Matlab when tackling problems in the scientific domain. In the world of Big Data, Python and R are currently seen to be stand supreme. However the growth of data over the next five years, both structured and unstructured, will present a variety of new challenges and this talk discusses some of the features peculiar to Julia: posing the question whether it is destined to become a natural fit for the data science analytics in the near future.
YOU MAY ALSO LIKE:
- Gojko Adzic's Impact Mapping Workshop (in London on 27th September 2017)
- Uncle Bob's Advanced TDD (in London on 30th - 31st October 2017)
- Uncle Bob's Clean Code: Agile Software Craftsmanship (in London on 1st - 3rd November 2017)
- Agile Testing & BDD eXchange 2017 (in London on 9th - 10th November 2017)
Is Julia the Future for Big Data Analytics?
Dr. Malcolm Sherrington has been involved in provision of I.T. systems for over 30 years, working on a wide range of projects in Aerospace, Healthcare and Finance, as well as teaching at universities in London and Brighton. He is the author of a book on "Mastering Julia", the founder and organiser of the London Julia Users meetup group.