“Python’s extensibility and interoperability with other programming languages and numerical libraries makes it an increasingly popular choice in both the financial and scientific computing ...

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.

67-year-programming language ranks in the top 10 of the Tiobe index of programming language popularity for two months running. Fortran’s return to the top 10 in Tiobe’s monthly index of ...

With the latest releases of Intel® Distribution for Python, included in Intel® Parallel Studio XE 2019, the numerical and scientific computing capabilities of high-performance Python now extends to ...

This short introduction should get you started in thinking of Python as a viable possibility in "real" numerical computations. The NumPY module provides a very strong foundation to build up complex ...

Julia can be as simple and direct to program in as Python while offering ... imposing presence in the scientific computing realm. Julia was intended for demanding numerical work, but it does ...

Our work in numerical and scientific computing involves the development, analysis and execution of computational algorithms to solve mathematical problems from science and engineering. Our faculty are ...

In this research field we are developing advanced computational methods centered around efficient solution strategies for partial differential equations. In numerical analysis, we focus on developing ...

An introduction to scientific computing. Common numerical methods and algorithms are implemented using MATLAB. Basic elements of programming are introduced including variables, types, arrays, logical ...

NUMERICAL RECIPES The Art of Scientific Computing. William H. Press, Brian P. Flannery, Saul A. Teukoisky and William I. Vetterling. Cambridge University Press, New ...