As computers become more and more powerful, scientific computing is becoming a more important part of fundamental research into how our world works. We can do more now than we could even imagine just ...

Math and scientific computing thrive when you can make use of the full resources available on a given machine, especially multiple cores. Both Python and Julia can run operations in parallel.

ActiveState this week added open source packages for financial and scientific computing to its ActivePython distribution of the Python programming language. The move is being made as a result of ...

To start Jupyter at the Linux shell, type: jupyter notebook If it doesn't open automatically, try opening your browser to ...

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.

ActiveState's new Amazon-based cloud service enables Python developers to build and deploy secure enterprise cloud applications.

Software for in-memory computing is now being developed. Researchers have successfully developed a conversion layer for Python code that allows existing Python code to function with in-memory ...

In this video, Dr. Marcelo Ponce from SciNet presents: Scientific Visualization with Python. “SciNet is Canada’s largest supercomputer centre, providing Canadian researchers with computational ...

Its growing popularity could be explained by the goal Julia's four makers outlined when they unveiled it in 2012: to create a perfect language that suited their tasks in scientific computing ...