Julia is compiled, not interpreted. For faster runtime performance, Julia is just-in-time (JIT) compiled using the LLVM compiler framework.At its best, Julia can approach or match the speed of C.

Python has become an accepted language to use for a variety of tasks. One of the uses today is for designing simulations and using in High Performance Computing (HPC) applications. One of the main ...

Python is now one of the most popular programming languages among developers and could soon overtake C++. But a much younger language, Julia -- a possible alternative to Python -- is catching on ...

In this video from the ECSS Symposium, Abe Stern from NVIDIA presents: CUDA-Python and RAPIDS for blazing fast scientific computing.. We will introduce Numba and RAPIDS for GPU programming in Python.