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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 ...

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 ...

Those computing tasks depend on linear algebra, where manipulation of multi-dimensional arrays, known as tensors, is paramount. Also: Python programming language: Here's what's new in version 3.9 RC2 ...

This leads to simplified scaling of analytics and machine learning code written in Python, allowing users to solve larger and more complex data problems. Ray is a fast and simple distributed computing ...

Python is increasingly used in high-performance computing projects. It can be used either as a high-level interface to existing HPC applications and libraries, as embedded interpreter, or directly.

Short for “Parallel Scripting Library,” Parsl lets you take computing jobs and split them across multiple systems using roughly the same syntax as Python’s existing Pool objects.

Python™ Support from Measurement Computing September 08, 2020 03:00 PM Eastern Daylight Time ...