Julia vs. Python: Julia language advantages. Julia was designed from the start for scientific and numerical computation. Thus it’s no surprise that Julia has many features advantageous for such ...

One of the big surprises of the past few years has been the spectacular rise in the use of Python* in high-performance computing applications. With the latest releases of Intel® Distribution for ...

Use Python for Scientific Computing. HOWTOs. ... on November 1, 2008. As computers become more and more powerful, scientific computing is becoming a more important part of fundamental research into ..

SciPy is a free and open-source Python library (built on top of Numpy) used for scientific computing and technical computing. SciPy contains modules for optimization, linear algebra, integration, ...

"Intel recently announced the first product release of its High Performance Python distribution powered by Anaconda. The product provides a prebuilt easy-to-install Intel Architecture (IA) optimized ...

Now Python has surged past Java, which slipped to third. While some might cite Python’s use in fields such as data mining, AI, and numerical computing as reasons for its rising fortunes, ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

CS 52500 - Parallel Computing Parallel computing for science and engineering applications: parallel programming and performance evaluation, parallel libraries and problem-solving environments, models ...