Re:C++17 Is Here: Interview with Herb Sutter
by nextos on Tuesday October 24, 2017 @02:24PM
(#15543924)
My use case is rapid development of new statistical methods.
Julia seems ideal in some ways, as performance can be quite close to C / C++ / Fortran, while the code is more high-level. I don't care about GUIs, distribution, teamwork or maintenance.
Julia seems promising, and there are some nice usage stories already:
https://www.intel.com/content/dam/www/public/us/en/documents...
I am quite proficient with JVM-based stacks (Java, Scala & Clojure). But the level of performance, especially in terms of memory usage, cannot come anywhere close to C++.
For me, as native companion to Java and .NET stacks, Rust still cannot take C++'s place regarding mixed debugging experience, IDE integration, GUI designers support, distribution of binary binaries and most important making team mates or customers (specially their IT) accept yet another tool into the projects.
For other people Rust is already mature enough and they are delivering production code with it.
In any case, until Julia and Rust stop using LLVM as their backend, being confortable with C++ is a good idea.