A step-by-step guide to catching real anomalies without drowning in false alerts.
This blog post details how to build a natural language Bash agent using NVIDIA Nemotron Nano v2, requiring roughly 200 lines of Python code. It covers the core components, safety considerations, and offers both a from-scratch implementation and a simplified approach using LangGraph.
A roundup of four lightweight Python utilities that automate common annoyances—sorting your Downloads folder, quickly logging timestamped notes, cleaning tracking parameters from copied URLs, and logging intermittent internet outages—each presented with source code and usage tips.
3D simulations and movement control with PyBullet. This article demonstrates how to build a 3D environment with PyBullet for manually controlling a robotic arm, covering setup, robot loading, movement control (position, velocity, force), and interaction with objects.
The author describes building a personal, open-source computational engine using Python libraries SymPy, NumPy, pandas, SciPy, statsmodels, Pingouin, Matplotlib, and Seaborn, effectively replicating the functionality of Wolfram Mathematica at no cost.
This notebook provides an introduction to Naive Bayes classification, covering concepts, formulas, and implementation.
This tutorial compares Polars and pandas, covering syntax, performance, LazyFrames, conversions, and plotting to help you choose the right library for your data analysis needs.
An easy starting point for larger and more complicated Dash dashboards. This article presents a sensible, and fully functional, multi-file project structure, containing all the essentials to get started.
Aircraft radar display with retro styling. Visualises real-time aircraft positions and metadata from a local tar1090 server, with a retro interface.
oLLM is a Python library for running large-context Transformers on NVIDIA GPUs by offloading weights and KV-cache to SSDs. It supports models like Llama-3, GPT-OSS-20B, and Qwen3-Next-80B, enabling up to 100K tokens of context on 8-10 GB GPUs without quantization.