In this video from EuroPython 2019, Pierre Glaser from INRIA presents: Parallel computing in Python: Current state and recent advances. Modern hardware is multi-core. It is crucial for Python to ...
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 ...
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Stop crashing your Python scripts: How Zarr handles massive arrays
Tired of out-of-memory errors derailing your data analysis? There's a better way to handle huge arrays in Python.
Over at the Cray Blog, Brad Chamberlain writes that the Chapel programming language is designed specifically for large-scale parallel computing. I believe programmers have never had a decent ...
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