Latest funding will help scale Julia Computing’s production of Julia solutions and new product development for pharmaceuticals, energy, finance, and other sectors.

Course materials can be found at: https://github.com/JuliaAcademy/JuliaProgrammingForNervousBeginners…

Python is the most popular “other” programming language among developers using Julia for data-science projects.

There are three big parts of this release: support for proxying certain panels through an SSH server, support for three new scripting languages, and usability improvements when working with many megabytes of data.

By blending speed and high-level functionality in a language for technical computing, Julia was designed to be just right.

I have programmed exclusively in C for five years so far. I can say from experience, after one and half years in C, I was beginning to understand pointers, malloc() and arrays of pointers to pointers…

One of Haskell’s features that I really liked was _list comprehensions_, so I was very pleased to discover how nice Julia’s comprehensions are!…

Julia is a new language. It’s simple to learn, and extremely fast. (Almost as fast as C.) Many people believe that Julia will become a dominant programming language, especially for machine learning…

I’m switching to Julia after running this comparison of Julia vs Numpy and Fortran, for performance and code simplicity.