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Source channel @githubtrending · Post #14985 · Jul 22
#c_lang#cuda#cuda_driver_api#cuda_kernels#cuda_opengl You can use the CUDA Samples from NVIDIA to learn and test CUDA Toolkit 12.9 features by downloading them from GitHub or as a ZIP file. These samples show how to use CUDA for GPU programming, including utilities, concepts, libraries, and performance optimization. You build them with CMake on Linux, Windows, or Tegra devices, and can run tests automatically with a provided Python script. This helps you understand CUDA programming, debug GPU code, and optimize your applications for better performance on NVIDIA GPUs. It’s a practical way to develop and improve GPU-accelerated software efficiently. https://github.com/NVIDIA/cuda-samples
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@dasturlash_hayoti · Post #3991 · 10/06/2025, 12:21 PM
“Sayt hamma qurilmalarda chiroyli chiqishi kerak!” dedingiz-da… Natijada 50 ta telefon, 1 ta zaryadlovchi, va 0 ta sabr😂 #DasturlashHayoti#Frontend#Responsive#Hazil 💻@dasturlash_hayoti— dasturchilar uchun eng kerakli maslahatlar, hazillar va foydali kontent!
@githubtrending · Post #15403 · 01/09/2026, 12:30 PM
#typescript#css#css_framework#functional_css#postcss#responsive#tailwindcss#utility_classes Tailwind CSS is a utility-first CSS framework that lets you style websites by adding small, reusable classes directly in your HTML, instead of writing separate CSS files. It provides ready‑made utilities for layout, spacing, colors, and more, so you can build custom user interfaces quickly and consistently. Clear documentation, an active community, and contribution guidelines make it easier to learn, get help, and even contribute to the project, which can save time, reduce CSS complexity, and speed up your UI development. https://github.com/tailwindlabs/tailwindcss