Python Project Setup 2026: Uv + Ruff + Ty + Polars
In 2026 the recommended Python project stack consolidates environment management, linting, type checking, and data processing into four tools: uv, Ruff, Ty, and Polars. uv acts as a one‑stop installer, virtual‑environment manager, and dependency locker, eliminating the need for pyenv, pip, venv, or Poetry. Ruff replaces Black, isort, Flake8 and similar utilities with a single, ultra‑fast linter/formatter, while Ty provides modern, low‑overhead type checking. Polars offers a high‑performance dataframe library that outpaces pandas on large workloads, completing the stack with a focus on speed and simplicity.
Docker for Python & Data Projects: A Beginner’s Guide
The article walks beginners through using Docker for Python‑based data projects, starting with containerizing a simple data‑cleaning script and emphasizing pinned dependencies. It then shows how to serve a machine‑learning model via FastAPI in a lightweight container, followed by building...
7 Steps to Mastering Language Model Deployment
The article outlines seven practical steps for moving a large language model (LLM) from a prototype to a production‑ready system. It stresses the importance of a clearly defined use case, selecting a cost‑effective model, and building a modular architecture with...
Top 7 Docker Compose Templates Every Developer Should Use
The article spotlights seven ready‑to‑use Docker Compose templates that accelerate local development for a range of stacks—WordPress, Next.js, PostgreSQL, Django, Kafka, n8n AI, and Ollama/OpenWebUI. Each GitHub‑hosted template bundles core services such as databases, web servers, message brokers, and AI...
Are AI Agents Your Next Security Nightmare?
In 2026 autonomous AI agents have moved beyond chatbots to proactive systems that can plan, reason, and execute actions across corporate networks. Incidents like the OpenClaw shadow‑AI deployments expose thousands of instances without authentication, highlighting the danger of ungoverned agents....
5 Best Books for Building Agentic AI Systems in 2026
The article curates five 2024‑2025 books that together cover the full stack of agentic AI development in 2026. Chip Huyen’s *AI Engineering* tackles production‑grade evaluation and trade‑off decisions for autonomous agents. The *LLM Engineer’s Handbook* and *Building LLM‑Powered Applications* provide...
Advanced NotebookLM Tips & Tricks for Power Users
Google NotebookLM has added five high‑impact features that turn it from a simple study aid into an end‑to‑end research and content‑creation platform. Users can now revise individual slides with natural‑language prompts, export decks directly as PPTX files, and generate cinematic...
5 Useful Things to Do with Google’s Antigravity Besides Coding
Google’s Antigravity platform, originally marketed as a coding IDE, offers a suite of autonomous agent capabilities that extend far beyond software development. Its browser agent can conduct end‑to‑end market research, while a persistent memory system builds a reusable knowledge base...
Kaggle + Google’s Free 5-Day Gen AI Course
Google and Kaggle launched a free five‑day generative AI course that drew over 280,000 sign‑ups, earning a Guinness World Record for the largest virtual AI conference in a single week. The program covers foundational models, embeddings, AI agents, domain‑specific LLMs,...
5 Docker Containers for Small Business
The article outlines a Docker‑based “business‑in‑a‑box” stack for small firms, starting with Portainer for container management, PostgreSQL for relational storage, Airbyte for ELT, Metabase for BI, and n8n for workflow automation. Deploying these open‑source containers on a single VM gives...
Run Qwen3.5 on an Old Laptop: A Lightweight Local Agentic AI Setup Guide
The guide shows how to run the 4‑billion‑parameter Qwen3.5 model on an older laptop using Ollama, then connect it to the OpenCode coding agent. Installation steps for Ollama on Windows, Linux and macOS are outlined, followed by a single command...
Supabase vs Firebase: Which Backend Is Right for Your Next App?
Supabase and Firebase dominate the backend‑as‑a‑service market, each offering a distinct data model and ecosystem. Firebase provides a NoSQL, real‑time database tightly integrated with Google Cloud, while Supabase delivers an open‑source PostgreSQL‑based platform with SQL flexibility and self‑hosting options. The...
7 Steps to Mastering Retrieval-Augmented Generation
Retrieval‑augmented generation (RAG) enhances large language models by coupling them with external knowledge bases, addressing hallucinations and outdated information. The article outlines seven essential steps—from data selection and cleaning, through chunking, embedding, and vector‑store population, to query vectorization, context retrieval,...
10 LLM Engineering Concepts Explained in 10 Minutes
The article reframes large language model (LLM) development as a systems problem rather than pure prompt engineering. It outlines ten core engineering concepts—including context engineering, tool calling, the Model Context Protocol, agent‑to‑agent communication, semantic caching, contextual compression, reranking, hybrid retrieval,...
Building A Bulletproof Strategy For Data Recovery (Sponsored)
Data disruptions such as hardware failures, ransomware attacks, and unexpected outages are becoming routine threats to enterprises. Companies that rely solely on reactive fixes risk turning brief interruptions into costly business disruptions. A proactive, layered data recovery strategy—combining regular backups,...
