The Python ecosystem is loaded with libraries, tools, and applications that make the work of scientific computing and data analysis fast and convenient. But for the developers behind the Julia ...

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.

Python is increasingly used in high-performance computing projects. It can be used either as ... folding and finding ways to make efficient use of HPC hardware for solving scientific problems. He has ...

Nevertheless, it’s already generated an excited buzz in scientific computing circles ... Julia can be as simple and direct to program in as Python while offering an order of magnitude increase ...

Python is powerful ... These efficiencies make Joblib well-suited for scientific computing, where reproducible results are sacrosanct. Joblib’s documentation provides plenty of examples for ...

Apparently they are trying to introduce Python for scientific computing, they are using Windows (on a typical, locked-down environment). So I suggested that looking into Anaconda might be cool ...

Python is now one of the most popular programming ... to create a perfect language that suited their tasks in scientific computing, machine learning, data mining, large-scale linear algebra ...

Camber wants to make scientific computing faster and more accessible with its cloud-based platform. The startup raised $4 million to help researchers process large datasets using powerful GPUs.