Talks & Seminars
Title: Julia - A Fresh Approach to Numerical Computing and Data Science
Prof. Alan Edelman, Massachusetts Institute of Technology
Date & Time: January 14, 2016 17:00
Venue: F. C. Kohli Auditorium, B Block, 01st Floor, Department of Computer Science and Engineering, Kanwal Rekhi (KReSIT) Building
Julia is a high-level, high-performance dynamic programming language for numerical computing. It provides a sophisticated compiler, distributed parallel execution, numerical accuracy, and an extensive mathematical function library. Julia’s Base library, largely written in Julia itself, also integrates mature, best-of-breed open source C and Fortran libraries for linear algebra, random number generation, signal processing, and string processing. In addition, the Julia developer community is contributing a number of external packages through Julia’s built-in package manager at a rapid pace. Julia is in use by tens of thousands of users worldwide, and is taught at dozens of universities, including MIT and Stanford. This talk will introduce the fundamental ideas in Julia, provide a gentle introduction to the language from a user’s perspective, and also touch upon the future direction. We expect that members of the audience will be able to use Julia for teaching and research afterwards.
Speaker Profile:
Prof. Alan Edelman is a professor of applied mathematics at MIT, and one of the creators of the Julia programming language. More details about him are available at http://math.mit.edu/~edelman.
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