Building pyarrow with CUDA support
The other day I was looking to read an Arrow buffer on GPU using Python, but as far as I could tell, none of the provided pyarrow packages on conda or pip are built with CUDA support. Like many of the packages in the compiled-C-wrapped-by-Python ecosystem, Apache Arrow is thoroughly documented, but the number of permutations of how you could choose to build pyarrow with CUDA support quickly becomes overwhelming.
https://randyzwitch.com/pyarrow-cuda-support/
The other day I was looking to read an Arrow buffer on GPU using Python, but as far as I could tell, none of the provided pyarrow packages on conda or pip are built with CUDA support. Like many of the packages in the compiled-C-wrapped-by-Python ecosystem, Apache Arrow is thoroughly documented, but the number of permutations of how you could choose to build pyarrow with CUDA support quickly becomes overwhelming.
https://randyzwitch.com/pyarrow-cuda-support/
Randyzwitch
randyzwitch.com | Building pyarrow with CUDA support
Building pyarrow with CUDA support from source doesn't have to be confusing. Here's how to build pyarrow with CUDA support using virtualenv and Docker.
https://github.com/rougier/matplotlib-3d
This experimental project is an attempt at providing a better and more versatile 3d axis for Matplotlib. The heart of the code is explained in this blog post: Custom 3D engine in Matplotlib.
This experimental project is an attempt at providing a better and more versatile 3d axis for Matplotlib. The heart of the code is explained in this blog post: Custom 3D engine in Matplotlib.
GitHub
GitHub - rougier/matplotlib-3d: Experimental 3D axis for matplotlib
Experimental 3D axis for matplotlib. Contribute to rougier/matplotlib-3d development by creating an account on GitHub.
https://github.com/Tesorio/django-anon
Anonymize production data so it can be safely used in not-so-safe environments
Anonymize production data so it can be safely used in not-so-safe environments
GitHub
GitHub - Tesorio/django-anon: :shipit: Anonymize production data so it can be safely used in not-so-safe environments
:shipit: Anonymize production data so it can be safely used in not-so-safe environments - GitHub - Tesorio/django-anon: :shipit: Anonymize production data so it can be safely used in not-so-safe en...