How to Level Up Your Python Logs with Structlog
This Structlog guide covers configuration context JSON output error handling and OpenTelemetry integration to make your logs a useful signal for Observability.
https://www.dash0.com/guides/python-logging-with-structlog
This Structlog guide covers configuration context JSON output error handling and OpenTelemetry integration to make your logs a useful signal for Observability.
https://www.dash0.com/guides/python-logging-with-structlog
Dash0
How to Level Up Your Python Logs with Structlog · Dash0
This Structlog guide covers configuration context JSON output error handling and OpenTelemetry integration to make your logs a useful signal for Observability
PyTorch 2.9
PyTorch 2.9 introduces new features including a stable libtorch ABI for C++/CUDA extensions, symmetric memory programming for easy multi-GPU kernel development, and enhanced control over graph break handling in torch.compile. It expands wheel support for AMD ROCm, Intel XPU, and CUDA 13, adds FlexAttention optimizations on Intel GPUs and X86 CPUs, and improves Arm platform performance wi...
https://pytorch.org/blog/pytorch-2-9/
PyTorch 2.9 introduces new features including a stable libtorch ABI for C++/CUDA extensions, symmetric memory programming for easy multi-GPU kernel development, and enhanced control over graph break handling in torch.compile. It expands wheel support for AMD ROCm, Intel XPU, and CUDA 13, adds FlexAttention optimizations on Intel GPUs and X86 CPUs, and improves Arm platform performance wi...
https://pytorch.org/blog/pytorch-2-9/
Neural Networks: Simpler Than You Think
The post presents a straightforward implementation of a neural network from scratch in Python, explaining core concepts such as neurons, layers, weights, biases, activation functions, and training through backpropagation. It demonstrates building and training a simple neural network to approximate a sine wave, highlighting that despite its simplicity, the network can learn complex patter...
https://www.hamza.se/blog/neural-networks
The post presents a straightforward implementation of a neural network from scratch in Python, explaining core concepts such as neurons, layers, weights, biases, activation functions, and training through backpropagation. It demonstrates building and training a simple neural network to approximate a sine wave, highlighting that despite its simplicity, the network can learn complex patter...
https://www.hamza.se/blog/neural-networks
Hamza's Portfolio & Blog
Neural Networks: Simpler Than You Think | Hamza's Blog
A walkthrough of implementing a neural network from scratch in Python, exploring what makes these seemingly complex systems actually quite straightforward.
rightnow-cli
Claude Code for CUDA. Free AI assistant that actually understands GPU architecture.
https://github.com/RightNow-AI/rightnow-cli
Claude Code for CUDA. Free AI assistant that actually understands GPU architecture.
https://github.com/RightNow-AI/rightnow-cli
GitHub
GitHub - RightNow-AI/rightnow-cli: Claude Code for CUDA. Free AI assistant that actually understands GPU architecture
Claude Code for CUDA. Free AI assistant that actually understands GPU architecture - RightNow-AI/rightnow-cli