#youtube articles (38)
2026
- From RAG to Agentic RAG & Fine-Tuning: A Practical Journey
- Turning Customer Complaints into Actionable Insights with AI & NLP
- Renegotiating the Social Contract for Free Software
- The Shape of Suspicious Behavior: Anomaly Detection with Graphs
- Beyond RAG: Building an Agentic "Second Brain" with FastAPI, pgvector, and Gemini
- TypeScript for Pythonistas / Python for TS Devs
- Streamlit in the Secondary Classroom
- AI Agent demonstration with Microeval
- An EV Trip Planner for Australia
2025
- Building a Self-Hosted AI: The Cost-Effective Path to Knowledge Management System
- Python-Powered AI Image Generation on GKE: Hands-on with Stable Diffusion, PyTorch & Kubernetes
- Turning the Tables
- Empowering Safer Spaces: Monitoring Social Media Harassment with Python APIs
- From Image to Insights
- Prompt Ops: Operationalizing LLM Workflows
- Better DataFrames with the Polars DataFrame library
- Python Design Patterns
- Automating Video Insights with Python and LangGraph
- Building AI Agents with the Strands SDK
- Building a Recommendation Engine with Neo4j
- Crossing the Streams: Sand-boxing python applications
- Welcome to the Future of Carbon Accounting: An Introduction to the PACT Network
2024
- A Deep, Pythonistic Dive Into Ximena, an AI Twitch Streamer
- Web Development with Django: Deployment with Django
- GenAI Coding with an Open Source Code Companion: aider.chat
- Introduction to Algorithmic Trading in Python
- Intro to Post Quantum Cryptography with Python
- RESTful API Development using Python & Django
- Useful (and not so useful) introspection in Python
- Optimising SciPy's RGI module with Cython
- DuckDB: A fast and versatile analytical database to keep in your data toolkit
- GenAI and its use cases as a Python developer
- An Introduction To MicroPython
- Integrating Python and Rust to build better Generative AI models
- Graph Neural Networks
- Migrating COBOL data to PostgreSQL using Python and Django
2023
- A guide to creating 3D visualisations with Python and the VTK toolkit
- Numbers in Python – why you still need to care about low-level details even when working in a high-level language
