About Dask: Dask is an open-source Python parallel computing library. With Dask, Python code can be scaled from multi-core local machines to large distributed clusters in the cloud.

This course addresses scientists with a working knowledge of NumPy who wish to explore the productivity gains made possible by Python for HPC. "We will show how Python can be used on parallel ...

Pierre Glaser from INRIA gave this talk at EuroPython 2019. "Modern hardware is multi-core. It is crucial for Python to provide high-performance parallelism. This talk will expose to both ...

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 ...

Overview: Python remains reliable for general programming, web development, and data analysis.Mojo offers high-speed ...

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 ...

Measurement Computing Corporation (MCC) today announced the release of Python support for MCC DAQ devices. Python is a powerful object-oriented progra ...

The Python script drives a pin on the parallel port high, triggering the Larson Scanner’s animation. Every minute, the script checks the status of FFMPEG and continues to hold the pin high until ...

AUSTIN, Texas, June 7, 2022 /PRNewswire/ -- Dask, an open-source Python-native parallel computing library, has announced its latest rebrand. Dask's rebranding includes a new visual style ...