#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
📱 TCL Flip 4 5G: tosh davriga qaytishni istaganlar uchun
ℹ️ TCL kompaniyasi yangi Flip 4 5G telefonini taqdim etdi — klassik bukiluvchi dizayn va zamonaviy 5G texnologiyasi uyg‘unlashgan model.
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➡️#tcl | Birinchi raqamli IT-Blog
https://wiki.python.org/moin/TkInter
#Tkinter is Python's de-facto standard GUI (Graphical User Interface) package. It is a thin #object-oriented layer on top of #Tcl/Tk.
Tkinter is not the only GuiProgramming toolkit for Python. It is however the most commonly used one. CameronLaird calls the yearly decision to keep TkInter "one of the minor traditions of the Python world."
The Tkinter wiki: http://tkinter.unpythonic.net/wiki/