LinkedIn

Paolo Perrone’s Post

I've watched every CUDA tutorial this year. Jeremy Howard's is the only one that made it click. 5 things he does differently: 1️⃣ Write the kernel in Python first Not pseudocode. Actual Python with ...
InfoWorld

10 tips for getting better R code from your AI coding agent

With the proper setup and guidance, you can have Claude Code, Codex, Posit Assistant, and other coding agents writing R code ...
GitHub

eminsafa/pytorch-cuda-compatibility

1.13.0 3.7+ 11.6, 11.7 0.13.0 0.14.0 1.12.1 3.7+ 10.2, 11.3, 11.6 0.12.1 0.13.1 1.12.0 3.7+ 10.2, 11.3, 11.6 0.12.0 0.13.0 1.11.0 3.6+ 10.2, 11.3 0.11.0 0.12.0 1.10.1 ...
GitHub

A comprehensive tutorial on the Python Pandas library, updated to be consistent with best practices and features available in 2024.

To get started with Pandas locally, you can follow these steps to set up your environment and clone the recommended repository. You can use your favorite code editor like Visual Studio Code or PyCharm ...
LinkedIn

Florian Elio Mattana’s Post

If you're interested in CUDA, there's a paper you should read. And it is called : NVIDIA Tesla: A Unified Graphics and Computing Architecture. This is the paper where SIMT is formally defined. Not ...