Julia is a high-level, high-performance dynamic language for scientific computing. It has been gaining traction as a faster alternative to Matlab, R and NumPy and as a more productive alternative to C, C++ and Fortran. Julia is particularly relevant when both expressiveness and performance are paramount – in areas like machine learning, “big statistics”, linear algebra, bioinformatics, and image analysis.
Showing posts with label performance. Show all posts
Showing posts with label performance. Show all posts
Thursday, February 12, 2015
Subscribe to:
Posts (Atom)
Popular Articles
-
Cloud Computing has graduated from being a technology buzzword to being an essential part of any business or organization. Let's take a...
-
Video talk at the Universidad Iberoamericana Leon in Mexico at the CESLG 08, in which andy talks about his career and his new book Pragma...
-
Top 10 Cloud Apps for your Business introduced apps often used from the cloud. There are several vendors to chose from when implementin...
-
It's super exciting to be a part of tonight's Technical English Seminar at VTC Academy . This started off as another Tech Tak Tue...